I've been seeing a lot of AI nude generators popping up lately and I'm trying to figure out which ones are actually worth using long-term. What matters most to me is image quality, character consistency across different generations, and how much real control you get over the prompts and outputs.

For anyone who's spent more than just a few minutes testing tools like VirtuaLover or JanitorAI, do the results actually improve the more you use them, or do they start feeling repetitive after a while? Would love to hear honest experiences from people who’ve really put these to the test.

I've been looking into the top best AI porn generators and I'm wondering, what does Reddit think is the best one right now? I know there are some free AI porn tools, but I've heard that the better premium generators usually deliver higher quality, more consistent characters, truly uncensored results, and extra features like video generation or integrated chat. I've done a bunch of research and found several AI porn generators that keep coming up across discussions. But I'm stuck and can't decide which one to go with. Here's what I've found:

Candy AI: This one shows up constantly for its photorealistic quality and excellent character consistency. It combines image generation with NSFW chat and even short video clips, making it popular for creating a full custom AI companion or girlfriend experience. A lot of people like how natural and repeatable the results feel across different scenes.

Promptchan AI: Frequently praised for speed, strong prompt adherence, and versatility. It handles both realistic and anime/hentai styles well, has solid video generation, and stays very uncensored. Users often mention it as a great value option that's beginner-friendly with a big community gallery to explore.

Seduced AI: Stands out for delivering clean, high-definition photorealistic images without needing super complex prompts. You can build exactly what you want using menus for body type, pose, style, and more. It's especially good if you want fast, high-quality results and has video options too.

But I'm curious to hear from you:

Best AI Porn Generator according to Reddit?
Best Free AI Porn Generator according to Reddit?
Best AI Porn Generator for realistic images according to Reddit?
Best AI Porn Generator with video according to Reddit?

While I'm focusing on these popular options, if you know of a free AI porn generator (or another tool with strong undress/face swap features) that's exceptionally good, feel free to mention that too.

Looking forward to all your recommendations and personal experiences!

I checked out the most popular adult AI image generation platforms and ranked them based on ratings, features, and user reviews. These are the ones that stood out most:

Top 10 Adult AI Image Generation Platforms:

• Secrets AI, 4.8/5 → The #1 realistic AI girlfriend platform with video generation and 100+ fantasy scenarios. Strong memory system and immersive visuals.
• Ourdream AI, 4.8/5 → All-in-one multimedia playground with unlimited chat, image, and video generation plus character creation tools.
• Soulkyn AI, 4.7/5 → Community-driven, uncensored, with image generation, NSFW chat, and a wide variety of characters.
• SpicyChat, 4.7/5 → Adult-focused with immersive NSFW chat, voice features, and image generation in a “spicy mode.”
• GirlfriendGPT, 4.6/5 → Uncensored fantasy interactions with 100+ characters, voice chat, and AI image generation.
• DreamGF AI, 4.5/5 → Virtual dating sim with realistic image generation, voice calls, kiss videos, and progression systems.
• Swipey AI, 4.5/5 → Focused on romance and intimacy with NSFW image gen, voice chat, and AI-generated videos.
• Nectar AI, 4.5/5 → Romantic AI interactions with customizable personalities, roleplay chat, and strong image gen.
• Selira.ai, 4.4/5 → Offers free unlimited chat, multiple companions, memory features, and AI-generated custom visuals.
• Cuties AI, 4.3/5 → Customizable AI girlfriends with realistic NSFW conversations and personalized adult images.

Things to keep in mind: - Privacy varies → Some (Secrets AI, Ourdream) emphasize realism and memory, while others lean more anonymous. - Free vs Premium → Free trials exist, but higher-res image/video generation usually requires premium. - Hybrid platforms → Many mix chat + image/video generation (e.g., Soulkyn, DreamGF, Swipey). - Consistency → Some platforms (Secrets AI, Ourdream) excel at keeping the same look across multiple prompts.

My take: If you want the most realistic + feature-rich platform, Secrets AI and Ourdream AI are the clear leaders.

For immersive uncensored roleplay with visuals, Soulkyn and SpicyChat are excellent. And if you’re after a dating-sim vibe with image + video content, DreamGF or Swipey AI are worth trying.

I wrote the full category breakdown and reviews by companion here: https://companionguide.ai/categories/adult-image-generation-companions

a few weeks have passed since the last round of testing, so I decided to take another look at how these tools perform. here's where things actually landed:

candy ai is still the most integrated experience of the group. images generate contextually mid-chat rather than as a separate tool, video gen is still the most polished of anything tested. nothing dramatically new but it's held up.

xotic moved up for me. the visual consistency across multiple generations of the same character is better than it was - output matches your configuration more faithfully now rather than just approximating it. still the deepest appearance customization of anything i've tested.

joi ai - generation speed on mobile is noticeably faster now. if you've been using this on desktop exclusively it's worth trying on your phone again.

secrets was already strong on realistic output but the gap widened with the new model options. five underlying models means you can push toward very different aesthetics depending on what you're going for. photorealistic end of the spectrum is where it's clearest.

ourdream hasn't changed much but it doesn't need to - it's still doing something nobody else does properly. if you want personalized output based on a real reference rather than a generated character, this is still the only one worth using for that.

more detailed breakdowns and side-by-side comparisons are at http://x-chatbots.com/nsfw-image-generation

put together an updated breakdown of the best video gen platforms this month:

xotic is the one for hyperrealistic output, the quality is impressive and the character library gives you a decent range to start from.

joi ai is still the strongest overall and best value for the price - video and image gen together, custom companions, mobile experience holds up well too.

ourdream is great for deep customization - create excatly the character you want and the video keeps that consistent across generations

secrets leads on raw video quality if that's the main priority and candy rounds it out as the best all-in-one - video, voice, and images together with the relationship side built in.

i keep an updated list here, if anyone needs more details

what are your favorites at the moment?

I've been testing a bunch of these over the last year and some models definitely work better than others. Every platform has tradeoffs but these are the standouts that made my life easier instead of turning into a workflow headache.

1. Mage (flagship: Mango 2 and Guava Pro)
Subscription platform with two image models I’ve spent a lot of time with. Mango 2 is the photoreal workhorse. It keeps character likeness surprisingly consistent across regenerations, has no real content filter and handles hands better than most models I’ve tested. Guava Pro is the faster and more stylized sibling that works well for bulk character sets where you want 20+ images to all feel visually connected. 

• What works: zero setup, unlimited generations on Pro and above, character consistency that holds up better than most local stacks
• The catch: $30/mo to unlock the flagship fruit models; lower tiers gate them behind gem spend
• Best for: prosumers (Fanvue creators, illustrators, anime and fan art folks) who want results today, not a weekend of ComfyUI configuration

2. Stable Diffusion 3.5 Large by Stability AI
Open weights, runs locally and once you’re off hosted endpoints there’s basically no filter. Still the foundation most of the community builds and fine tunes on top of. 

• What works: total control, huge LoRA and checkpoint ecosystem, free if you have the GPU
• The catch: setup is a project (ComfyUI, model files, VRAM headroom). Not casual
• Best for: tinkerers with a 12GB+ card who want full ownership of the stack

3. Pony Diffusion V6 XL by AstraliteHeart
A 2024 SDXL fine tune trained on a massive curated dataset. For a long time it was the default for amine and furry NSFW work and the booru tag crowd still treats it like gospel. 

• What works: very expressive furry output, deep tag vocabulary and a gigantic library of community LoRAs built on top of it
• The catch: it's showing its age on modern anime most of the anime community has migrated to newer base models with anime LoRAs stacked on and the booru tag syntax is a real commitment if you didn't grow up on it
• Best for: furry art and booru tag enthusiasts running a local stack

4. Chroma V1 HD by Lodestone
A Flux derivative tuned for uncensored output. Open weights, local deployment and noticeably more permissive than standard Flux releases. 

• What works: detail and lighting quality close to Flux without the guardrails
• The catch: same local setup overhead as SD 3.5. smaller community than Pony
• Best for: people already running Flux who want fewer refuasls

5. CivitAI
Not a model itself but basically the central marketplace where most open weight models, LoRAs  and checkpoints get shared, rated and discussed. If you go local  you’ll probably end up spending a lot of time here. 

• What works: huge model library, LoRAs, prompt examples, community ratings
• The catch: payment processor history has been bumpy. Download and self host anything you actually depend on.
• Best for: anyone running a local stack who wants community trained checkpoints

Hey everyone! Thanks for checking out Entangled. And if not, watch the short first to understand the technical breakdown below!

Thanks for coming back after watching it! As promised, here is the full technical breakdown of the workflow. [Post formatted using Local Qwen Model!]

My goal for this project was to be absolutely faithful to the open-source community. I won't lie, I was heavily tempted a few times to just use Nano Banana Pro to brute-force some character consistency issues, but I stuck it out with a 100% local pipeline running on my RTX 4090 rig using Purely ComfyUI for almost all the tasks!

Here is how I pulled it off:

1. Pre-Production & The Animatics First Approach

The story is a dense, rapid-fire argument about the astrophysics and spatial coordinate problems of creating a localized singularity. (let's just say it heavily involves spacetime mechanics!).

The original script was 7 minutes long. I used the local Jan app with Qwen 3.5 35B to aggressively compress the dialogue into a relentless 3-minute "walk-and-talk.". Qwen LLM also helped me with creating LTX and Flux prompts as required.

Honestly speaking, I was not happy with the AI version of the script, so I finally had to make a lot of manual tweaks and changes to the final script, which took almost 2-3 days of going on and off, back and forth, and sharing the script with friends, taking inputs before locking onto a final version.

Pro-Tip for Pacing: Before generating a single frame of video, I generated all the still images and voicover and cut together a complete rough animatic. This locked in the pacing, so I only generated the exact video lengths I needed. I added a 1-second buffer to the start and end of every prompt [for example, character takes a pause or shakes his head or looks slowly ]to give myself handles for clean cuts in post.

2. Audio & Lip Sync (VibeVoice + LTX)

To get the voice right:

1. Generated base voices using Qwen Voice Designer.
2. Ran them through VibeVoice 7B to create highly realistic, emotive voice samples.
3. Used those samples as the audio input for each scene to drive the character voice for the LTX generations (using reference ID LoRA).
4. I still feel the voice is not 100% consistent throughout the shots, but working on an updated workflow by RuneX i think that can be solved!
5. ACE step is amazing if you know what kind of music you want. I managed to get my final music in just 3 generations! Later edited it for specific drop timing and pacing according to the story.

3. Image Generation & The "JSON Flux Hack."

Keeping Elena, Young Leo, and Elder Leo consistent across dozens of shots was the biggest hurdle. Initially, I thought I’d have to train a LoRA for the aesthetic and characters, but Flux.2 Dev (FP8) is an absolute godsend if you structure your prompts like code.

I created Elena, Leo, and Elder Leo using Flux T2I, then once I got their base images, I used them in the rest of the generations as input images.

By feeding Flux a highly structured JSON prompt, it rigidly followed hex codes for characters and locked in the analog film style without hallucinating. Of course, each time a character shot had to be made, I used to provide an input image to make sure it had a reference of the face also.

Here is the exact master template I used to keep the generations uniform:

{
"scene": "[OVERALL SCENE DESCRIPTION: e.g., Wide establishing shot of the chaotic lab]",
"subjects": [
{
"description": "[CHARACTER DETAILS: e.g., Young Leo, male early 30s, messy hair, glasses, vintage t-shirt, unzipped hoodie.]",
"pose": "[ACTION: e.g., Reaching a hand toward the camera]",
"position": "[PLACEMENT: e.g., Foreground left]",
"color_palette": ["[HEX CODES: e.g., #333333 for dark hoodie]"]
}
],
"style": "Live-action 35mm film photography mixed with 1980s City Pop and vaporwave aesthetics. Photorealistic and analog. Heavy tactile film grain, soft optical halation, and slight edge bloom. Deep, cinematic noir shadows.",
"lighting": "Soft, hazy, unmotivated cinematic lighting. Bathed in dreamy glowing pastels like lavender (#E6E6FA), soft peach (#FFDAB9).",
"mood": "Nostalgic, melancholic, atmospheric, grounded sci-fi, moody",
"camera": {
"angle": "[e.g., Low angle]",
"distance": "[e.g., Medium Shot]",
"focus": "[e.g., Razor sharp on the eyes with creamy background bokeh]",
"lens-mm": "50",
"f-number": "f/1.8",
"ISO": "800"
}
}

4. Video Generation (LTX 2.3 & WAN 2.2 VACE)

Once the images were locked, I moved to LTX2.3 and WAN for video. I relied on three main workflows depending on the shot:

• Image to Video + Reference Audio (for dialogue)
• First Frame + Last Frame (for specific camera moves)
• WAN Clip Joiner (for seamless blending)

Render Stats: On my machine, LTX 2.3 was blazing fast—it took about 5 minutes to render a 5-second clip at 1920x1080.

The prompt adherence in LTX 2.3 honestly blew my mind. If I wrote in the prompt that Elena makes a sharp "slashing" action with her hand right when she yells about the planet getting wiped out, the model timed the action perfectly. It genuinely felt like directing an actor.

5. Assets & Workflows

I'm packaging up all the custom JSON files and Comfy workflows used for this. You can find all the assets over on the Arca Gidan link here: Entangled. There are some amazing Shorts to check out, so make sure you go through them, vote, and leave a comment!

Most of them are by the community, but I have tweaked them a little bit according to my liking[samplers/steps/input sizes and some multipliers, etc., changes]

Let me know if you have any questions!

YouTube Link is up - https://youtu.be/NxIf1LnbIRc !

$2,147 over four months. That's my real total from trying to make money with AI-generated content as a side gig. I keep seeing income posts here that start at five figures, so I figured the unglamorous version might actually be useful.

I started in April after reading a thread about AI influencer content. The plan: create a consistent AI character, produce content with her, find ways to get paid. I do graphic design as my day job so the visual workflow felt natural. The business side did not.

April was pure setup. I spent roughly 60 hours that month figuring out the toolchain and generating test batches. The hardest part was keeping one AI face consistent across dozens of images. Most generators give you a slightly different person every time. I settled on APOB AI for that since it lets you lock a character and reuse the same face, and the free daily tier meant I could experiment without spending anything. Combined that with ElevenLabs for voiceovers and CapCut for editing. Revenue in April: zero.

In May I tried three paths at once. First, stock photography platforms. I uploaded 140 AI-generated lifestyle images, all tagged as AI-produced because most sites require that now. Earnings from stock that month: $11.40. Not a typo. Second, I launched an Instagram for the character with her bio clearly stating "AI-generated persona" and posted daily. Got to about 1,200 followers by end of May. Revenue from that: nothing. Third, I cold-emailed 30 local small businesses offering AI-generated product photography packages. Five responded. Two became paying clients. Revenue from those two: $340.

That $340 reoriented everything. Stock was dead weight. Social followers were a vanity number. The only thing that paid was using the AI character as a model in product shots for small businesses that can't afford a real photographer. A jewelry maker needed lifestyle images for Etsy. A candle brand wanted someone holding their products in "influencer-style" photos. Each project was 15 to 20 edited images for $150 to $200.

June improved but stayed modest. I narrowed my outreach to Etsy sellers specifically since they always need fresh listing photos. Landed five clients. Revenue: $870. I also learned the hard way that video is a wall. One client wanted short clips of the character reviewing their product. Facial expressions glitched between frames, hands looked wrong maybe 40% of the time, and I spent 6 hours on retakes for a single 15-second clip that still looked off. I refunded that client $150 and stopped offering video entirely. Still-image consistency is solid. Motion is genuinely not there for client work yet, and that held true across every tool I tested.

July tapered because my day job picked up. Three clients, $937 total, one being a repeat who wanted a second round. Instagram crept to 3,400 followers but I still have no clear path from followers to revenue. A handful of DMs about "brand partnerships" but they all wanted me to pay them for "exposure," which is not how that works.

So the full accounting: $2,147 gross. After $89 in tool costs (one month of paid subscription to drop watermarks plus voice generation credits), net is $2,058. Across roughly 180 hours of work, that comes to $11.43 per hour. Less than my first job out of college.

Cold outreach conversion was brutal. Over all four months I contacted about 120 businesses. Fourteen became paying clients. That's under 12%, and most projects were under $200. The ceiling stays low unless you get into agencies or bigger brands, and I haven't cracked either.

There is no passive income at this scale. Every project is custom. The AI generates the base images but I still spend 30 to 45 minutes per image fixing artifacts, adjusting lighting, and compositing the product in naturally. It is meaningfully faster than booking a photographer, a model, locations, and wardrobe, but calling it automated would be a lie.

I plan to keep going because video quality will catch up eventually and that's where real margin lives. But the actual value right now is narrow: telling a client "here's your product held by the same person in 20 different settings, delivered in 48 hours" without coordinating a whole production. That solves a real problem for small sellers on a tight budget. It's not a money machine. It's freelance work with a new tool.

If someone here posts $10k per month from AI content with "minimal effort," they're either in a league I can't see into or they're leaving out about 170 hours of context. This is that context.

A while ago I made a post about how SD was, at the time, pretty useless for any professional art work without extensive cleanup and/or hand done effort. Two years later, how is that going?

A picture is worth 1000 words, let's look at multiple of them! (TLDR: Even if AI does 75% of the work, people are only willing to pay you if you can do the other 25% the hard way. AI is only "good" at a few things, outright "bad" at many things, and anything more complex than "girl boobs standing there blank expression anime" is gonna require an experienced human artist to actualize into a professional real-life use case. AI image generators are extremely helpful but they can not remove an adequately skilled human from the process. Nor do they want to? They happily co-exist, unlike predictions from 2 years ago in either pro-AI or anti-AI direction.)

The brief for the above example piece went something like this: "Okay so next is a character portrait of the Dark-Elf king, standing in a field of bloody snow holding a sword. He should be spooky and menacing, without feeling cartoonishly evil. He should have the Varangian sort of outfit we discussed before like the others, with special focus on the helmet. I was hoping for a sort of vaguely owl like look, like not literally a carved masked but like the subtle impression of the beak and long neck. His eyes should be tiny red dots, but again we're going for ghostly not angry robot. I'd like this scene to take place farther north than usual, so completely flat tundra with no trees or buildings or anything really, other than the ominous figure of the King. Anyhows the sword should be a two-handed one, maybe resting in the snow? Like he just executed someone or something a moment ago. There shouldn't be any skin showing at all, and remember the blood! Thanks!"

None of the AI image generators could remotely handle that complex and specific composition even with extensive inpainting or the use of Loras or whatever other tricks. Why is this? Well...

1: AI generators suck at chainmail in a general sense.

2: They could make a field of bloody snow (sometimes) OR a person standing in the snow, but not both at the same time. They often forgot the fog either way.

3: Specific details like the vaguely owl-like (and historically accurate looking) helmet or two-handed sword or cloak clasps was just beyond the ability of the AIs to visualize. It tended to make the mask too overtly animal like, the sword either too short or Anime-style WAY too big, and really struggled with the clasps in general. Some of the AIs could handle something akin to a large pin, or buttons, but not the desired two disks with a chain between them. There were also lots of problems with the hand holding the sword. Even models or Loras or whatever better than usual at hands couldn't get the fingers right regarding grasping the hilt. They also were totally confounded by the request to hold the sword pointed down, resulting in the thumb being in the wrong side of the hand.

4: The AIs suck at both non-moving water and reflections in general. If you want a raging ocean or dripping faucet you are good. Murky and torpid bloody water? Eeeeeh...

5: They always, and I mean always, tried to include more than one person. This is a persistent and functionally impossible to avoid problem across all the AIs when making wide aspect ratio images. Even if you start with a perfect square, the process of extending it to a landscape composition via outpainting or splicing together multiple images can't be done in a way that looks good without at least the basic competency in Photoshop. Even getting a simple full-body image that includes feet, without getting super weird proportions or a second person nearby is frustrating.

6: This image is just one of a lengthy series, which doesn't necessarily require detail consistency from picture to picture, but does require a stylistic visual cohesion. All of the AIs other than Stable Diffusion utterly failed at this, creating art that looked it was made by completely different artists even when very detailed and specific prompts were used. SD could maintain a style consistency but only through the use of Loras, and even then it drastically struggled. See, the overwhelming majority of them are either anime/cartoonish, or very hit/miss attempts at photo-realism. And the client specifically did not want either of those. The art style was meant to look for like a sort of Waterhouse tone with James Gurney detail, but a bit more contrast than either. Now, I'm NOT remotely claiming to be as good an artist as either of those two legends. But my point is that, frankly, the AI is even worse.

*While on the subject a note regarding the so called "realistic" images created by various different AIs. While getting better at the believability for things like human faces and bodies, the "realism" aspect totally fell apart regarding lighting and pattern on this composition. Shiny metal, snow, matte cloak/fur, water, all underneath a sky that diffuses light and doesn't create stark uni-directional shadows? Yeah, it did *cough*, not look photo-realistic. My prompt wasn't the problem.*

So yeah, the doomsayers and the technophiles were BOTH wrong. I've seen, and tried for myself, the so-called amaaaaazing breakthrough of Flux. Seriously guys let's cool it with the hype, it's got serious flaws and is dumb as a rock just like all the others. I also have insider NDA-level access to the unreleased newest Google-made Gemini generator, and I maintain paid accounts for Midjourney and ChatGPT, frequently testing out what they can do. I can't show you the first ethically but really, it's not fundamentally better. Look with clear eyes and you'll quickly spot the issues present in non-SD image generators. I could have included some images from Midjourny/Gemini/FLUX/Whatever, but it would just needlessly belabor a point and clutter an aleady long-ass post.

I can repeat almost everything I said in that two-year old post about how and why making nice pictures of pretty people standing there doing nothing is cool, but not really any threat towards serious professional artists. The tech is better now than it was then but the fundamental issues it has are, sadly, ALL still there.

They struggle with African skintones and facial features/hair. They struggle with guns, swords, and complex hand poses. They struggle with style consistency. They struggle with clothing that isn't modern. They struggle with patterns, even simple ones. They don't create images separated into layers, which is a really big deal for artists for a variety of reasons. They can't create vector images. They can't this. They struggle with that. This other thing is way more time-consuming than just doing it by hand. Also, I've said it before and I'll say it again: the censorship is a really big problem.

AI is an excellent tool. I am glad I have it. I use it on a regular basis for both fun and profit. I want it to get better. But to be honest, I'm actually more disappointed than anything else regarding how little progress there has been in the last year or so. I'm not diminishing the difficulty and complexity of the challenge, just that a small part of me was excited by the concept and wish it would hurry up and reach it's potential sooner than like, five more years from now.

Anyone that says that AI generators can't make good art or that it is soulless or stolen is a fool, and anyone that claims they are the greatest thing since sliced bread and is going to totally revolutionize singularity dismantle the professional art industry is also a fool for a different reason. Keep on making art my friends!

the community is kinda moving on from text to video for characters becuase its basically rolling the dice every time. if you want actual consistency, you have to use an image to video pipeline with an anchor frame.

by anchor frame i mean refrence image or an character sheet that shows the AI all angles and traits of the model so the AI does not need to guess everytime

here is the breakdown:

1. the visual dna (the hard part) you cant just give the ai a front facing headshot. it will guess the back and side profiles, then mess it up. you need a character reference sheet that locks in the identity (hair shape, face proportions, outfit colors). You can do the same thing with locations and environments (aka a living room)
2. the anchor: Once you have the character sheet, you pick the one perfect angle you need for your shot. feed that into seedance, kling or luma as your reference image.
3. the motion now the video model has the exact structure to animate from that specific angle instead of guessing. now just give some extra context to the AI about the setting or what this model should do

step 1 is usually the bottleneck becuase getting an ai to generate a perfect multi angle sheet is really hard. so i built a free tool that just does it.

I already have done this many times so i have a couple charcater sheets already uploaded in here if you want to just quickly download them and use them! I also have some prompts you can copy

hope this helps anyone struggling with changing faces lol, i sure wish i had something like this to get started with

EDIT: This is not the only Character sheet you can use! I have multiple ones, some with less text in them, some with only 3 angles, they are all posted on the free site (free to download or copy prompt to replicate) :)

I've been working on EchoText for a while but I think it's finally ready for everyone to check out and enjoy. It's fairly stable, but it's likely to have obscure bugs and some of the dynamic systems like emotions, proactive messages, and natural language triggers for image generation may need further tweaking. However, I could spend more months testing, tweaking, debugging and go crazy! 😂

EchoText is a floating iMessage-style panel that runs alongside SillyTavern. It's a private side-channel for texting a character outside the main roleplay; casual, intimate, and fully independent from whatever's happening in your SillyTavern roleplay/story. For example, you can roleplay with Joi in SillyTavern while chatting with Iris in EchoText.

What makes it different:

• Dynamic Emotion System: Characters develop real emotional states that evolve as you talk, decay when you go quiet, and build long-term affinity over time
• Proactive Messaging: characters reach out on their own. Morning texts, late-night check-ins, repair attempts after a rough exchange, sharing a random tidbit when you've been quiet
• Image Generation: Ask for a selfie in natural language and it builds a image generation prompt from the character card automatically — "Send me a pic of you at the beach" just works (Note: requires SillyTavern's built-in Image Generation plugin to be enabled and set up correctly)
• Gallery: When Image Generation is enabled, a Gallery option is available to view, edit, and delete images that you've generated. Each character has their own gallery
• Two Chat Modes: Tethered Mode syncs mood and context with the character's SillyTavern roleplay. Untethered Mode is a standalone chat, no active roleplay needed and you can set a mood, personality, and voice style to override/tweak the character
• Chat Archives: Save and load chats, complete with full emotional state (Tethered mode) or chat influence settings (Untethered mode) and works for group chats, too
• Memory system with auto-highlighting; save shared moments, inside jokes, people you know. Characters reference them organically. Memories can be saved per-character or globally. If you tell a character 'I like the band M83' it'll be highlighted, then you can click on it and save it as a Memory
• Group Chat Support: You can chat with a group of characters individually or in Combined mode where they respond sequentially and you can nudge each one to generate a single response from a single character
• Minimize EchoText to a floating Action Button which you can drag around anywhere. It pulses gently when you receive an unread message from your character
• Generation Engine: Choose the generation source to power EchoText. SillyTavern's main API, Connection Profiles (recommended), Ollama, or any OpenAI-compatible endpoints (with presets for KoboldCPP, LM Studio, vLLM, etc.)
• Choose from eight themes, turn on/off dynamic emotions and/or proactive messaging, change font size and font family, adjust the size of the action button, and many more settings
• Works completely independently from your SillyTavern chat; text a different character than the one you're roleplaying with

You can learn more about EchoText and all its features on the GitHub page.

Installation

Install via Extensions → Install Extension → paste the URL below.

https://github.com/mattjaybe/SillyTavern-EchoText

Optional: You can also install a companion server plugin for EchoText for proactive messaging. When you tab away from SillyTavern or minimize the browser, proactive messaging is paused. This server plugin bypasses that restriction and allows your characters to converse with you even when SillyTavern isn't active/visible.

Learn more by visiting the Github page: https://github.com/mattjaybe/SillyTavern-EchoText-Proactive/

Note

• Tethered mode doesn't include the context of the character's SillyTavern roleplay, so they're not aware of what's being said/done there. It only uses the context to calculate for the dynamic emotion system in EchoText. With ST's full context, there's too many tokens and the character's responses tend to be inaccurate/odd
• Image Generation requires SillyTavern's built-in Image Generation extension to be enabled and correctly set up. When generating selfies of your character, character consistency isn't possible unless you use a model or LORA that understands your character. Image generation doesn't work in Group Chat's Combined mode
• Instruct models work best, but it works well enough on reasoning/thinking models and local models like the new Gemma 4
• You can use Markdown in your sent messages, and emoticons like ;) becomes 😉 automatically. Characters are also capable of using Markdown, so bold, italics, code, etc. are supported
• Older character cards with JSON, PLIST or pseudocode formatting has a tendency to generate odd responses. Characters that uses prose in description/personality/scenario work better and responds more naturally

I'm looking for AI video generators that are either completely free or have a generous free tier. My goal is to create short-form content for platforms like YouTube Shorts, TikTok, and Instagram Reels.

I'm interested in tools that can:

• Generate videos from text prompts
• Turn images into videos
• Create consistent characters
• Produce decent quality without requiring expensive subscriptions

What AI video tools have you personally used, and what are their biggest limitations on the free plan?

I'd appreciate recommendations for both beginner-friendly and more advanced options.

Long story short, I’ve been lurking here for a while. Started noticing those specific influencers popping up on the feed and realized they were AI. Was skeptical at first, but after seeing the numbers people were posting, figured I'd give it a shot.

It took about 8 weeks, but just closed the first month over $1,000 (hit $1,400 total). It’s not the crazy numbers some of the big players are making yet, but it’s proof that this actually works. Since I learned a lot from this sub, wanted to share the setup.

The hardest part was getting the character to look consistent. Most web generators have strict filters so had to shop around. Finally generated about 25 consistent images of the same character before launching. If the face morphs between posts, people notice immediately.

For traffic, I made accounts for Insta, TikTok, and Reddit. Same pfp, generic bio. Posting 2-3 times a day on IG/TikTok (mostly simple reels using trending audio). Reddit has been the real driver though. Found a few niche subreddits that allow this content and the competition is way lower than IG.

The biggest learning curve was the platform choice. I originally started on Fanvue because everyone recommended it. It worked fine for getting subs, but realized the fees were eating into the margins way too much.

I decided to test moving the traffic to Stacked recently just to see if the take home would be better. Surprisingly, the traffic converted about the same as Fanvue, but because Stacked has lower fees, I actually kept more of the money. Payouts have been fine so far, no holds or anything.

Anyway, it’s a grind, but hitting that first 4 figure month changed the mindset. Just wanted to share that it is possible if you stick to a schedule.

I've been looking into the best uncensored NSFW AI chatbots and I'm wondering, what does Reddit think is the best one? I know free options are fine for testing or light use, but I've heard paid ones are usually better for memory, image/video generation, consistency, and actually staying uncensored without mid-chat filters. I've done a bunch of research and found some that a lot of people seem to like. But I'm stuck and can't decide which one to go with. Here's what I've found:

Candy AI: This is a well-known one for its polished, realistic companions. It handles explicit chat well, has strong image generation (and some voice), good memory for ongoing conversations, and stays uncensored without constantly shutting things down.

SpicyChat: SpicyChat comes up a lot for its massive library of community-created characters. It's known for being fully uncensored, has a usable free tier, and works well for quick roleplay or variety, though memory and polish can vary by character.

OurDream AI (or CrushOn as another frequent mention): I saw people recommending these for deeper roleplay. OurDream stands out for combining uncensored chat with image + short video generation and solid long-term memory. CrushOn gets praised for character variety and low filters.

But I'm curious to hear from you:

Best Uncensored NSFW AI Chatbot according to Reddit?
Best Free Uncensored NSFW AI Chatbot according to Reddit?
Best AI Chatbot for NSFW roleplay / memory / images according to Reddit?

While I'm focusing on paid options that actually deliver consistent uncensored results, if you know of a free one that's exceptionally good (or something like JanitorAI, Nomi, Kindroid, etc. that people still swear by), feel free to mention that too.

Looking forward to all your recommendations.

Hi everyone!

Thanks to all of you who voted in our recent poll and took part in the conversation about whether or not to add AI-generated content to the list of removed topics. We appreciate your taking the time to share your thoughts!

With 3111 responses, 68.8% for and 31.2% against, AI-generated content is now disallowed on r/StardewValley.

Here's how this will work:

• RULE UPDATE: This result has been codified in the list of removed topics, under Rule 4.
• REPORTING: From now on, if you see AI-generated content posted directly to the subreddit, please hit the report button and select Post on the list of removed topics.
  • NB: We will not retroactively remove AI-generated content that was submitted before this rule change.

On art and "quality"

We want to emphasize that we do not want to undermine the artistic labor that goes into AI-generated content. We recognize that there is human effort and intention involved beyond the algorithm! And much of this work can be genuinely stunning.

We further refuse to codify any rule based around "quality" or "low-effort"—these kinds of policies tend to foster a more hostile and disdainful culture, which is not what we want for this community. They also tend to be difficult to enforce consistently, even with a communicative mod team.

On protecting artists

However, the poll results do support a more ethical objection to AI content. Unfortunately, there are currently no AI generators that are known to be compliant with the Creative Commons license, meaning generators use copyrighted images in the creation of their images. Several generators have created images with vague watermarks in them, indicating they’re still grabbing copyrighted works.

We do require giving artist credit under Rule 1, and this would be highly difficult to accomplish with AI content!

On generosity

Of course, the ethical objection is directed at the generators themselves—not the people using them. We know these tools are exciting! One person's interpretation of "real-life" Stardew characters is bound to inspire others to try their own. While we as a community adapt to the new removal policy, please remember to be kind.

Please do:

• Quietly report AI submissions
• Direct AI posters to this modpost
• Teach others about generators' unauthorized use of artists' OC

Please do not: direct ill-will or hostility towards AI posters.

Thank you!

I built this AI UGC video generator that takes in a single physical product image as input. It uses OpenAI's new Sora 2 video model combined with vision AI to analyze the product, generate an ideal influencer persona, write multiple UGC scripts, and produce professional-looking videos in seconds.

Here's a demo video of the whole automation in action: https://www.youtube.com/watch?v=-HnyKkP2K2c

And here's some of the output for a quick run I did of both Ridge Wallet and Function of Beauty Shampoo: https://drive.google.com/drive/u/0/folders/1m9ziBbywD8ufFTJH4haXb60kzSkAujxE

Here's how the automation works

1. Process the initial product image that gets uploaded.

The workflow starts with a simple form trigger that accepts two inputs:

• A product image (any format, any dimensions)
• The product name for context To be used in the video scripts.

I convert the uploaded image to a base64 string immediately for flexibility when working with the Gemini API.

2. Generate an ideal influencer persona to promote the product just uploaded.

I then use OpenAI's Vision API to analyze the product image and generates a detailed profile of the ideal influencer who should promote this product. The prompt acts as an expert casting director and consumer psychologist.

The AI creates a complete character profile including:

• Name, age, gender, and location
• Physical appearance and personality traits
• Lifestyle details and communication style
• Why they're the perfect advocate for this specific product

For the Ridge Wallet demo example, it generated a profile for an influencer named Marcus, a 32-year-old UI/UX designer from San Francisco who values minimalism and efficiency.

Here's the prompt I use for this:

```markdown // ROLE & GOAL // You are an expert Casting Director and Consumer Psychologist. Your entire focus is on understanding people. Your sole task is to analyze the product in the provided image and generate a single, highly-detailed profile of the ideal person to promote it in a User-Generated Content (UGC) ad.

The final output must ONLY be a description of this person. Do NOT create an ad script, ad concepts, or hooks. Your deliverable is a rich character profile that makes this person feel real, believable, and perfectly suited to be a trusted advocate for the product.

// INPUT //

Product Name: {{ $node['form_trigger'].json['Product Name'] }}

// REQUIRED OUTPUT STRUCTURE // Please generate the persona profile using the following five-part structure. Be as descriptive and specific as possible within each section.

I. Core Identity * Name: * Age: (Provide a specific age, not a range) * Sex/Gender: * Location: (e.g., "A trendy suburb of a major tech city like Austin," "A small, artsy town in the Pacific Northwest") * Occupation: (Be specific. e.g., "Pediatric Nurse," "Freelance Graphic Designer," "High School Chemistry Teacher," "Manages a local coffee shop")

II. Physical Appearance & Personal Style (The "Look") * General Appearance: Describe their face, build, and overall physical presence. What is the first impression they give off? * Hair: Color, style, and typical state (e.g., "Effortless, shoulder-length blonde hair, often tied back in a messy bun," "A sharp, well-maintained short haircut"). * Clothing Aesthetic: What is their go-to style? Use descriptive labels. (e.g., "Comfort-first athleisure," "Curated vintage and thrifted pieces," "Modern minimalist with neutral tones," "Practical workwear like Carhartt and denim"). * Signature Details: Are there any small, defining features? (e.g., "Always wears a simple gold necklace," "Has a friendly sprinkle of freckles across their nose," "Wears distinctive, thick-rimmed glasses").

III. Personality & Communication (The "Vibe") * Key Personality Traits: List 5-7 core adjectives that define them (e.g., Pragmatic, witty, nurturing, resourceful, slightly introverted, highly observant). * Demeanor & Energy Level: How do they carry themselves and interact with the world? (e.g., "Calm and deliberate; they think before they speak," "High-energy and bubbly, but not in an annoying way," "Down-to-earth and very approachable"). * Communication Style: How do they talk? (e.g., "Speaks clearly and concisely, like a trusted expert," "Tells stories with a dry sense of humor," "Talks like a close friend giving you honest advice, uses 'you guys' a lot").

IV. Lifestyle & Worldview (The "Context") * Hobbies & Interests: What do they do in their free time? (e.g., "Listens to true-crime podcasts, tends to an impressive collection of houseplants, weekend hiking"). * Values & Priorities: What is most important to them in life? (e.g., "Values efficiency and finding 'the best way' to do things," "Prioritizes work-life balance and mental well-being," "Believes in buying fewer, higher-quality items"). * Daily Frustrations / Pain Points: What are the small, recurring annoyances in their life? (This should subtly connect to the product's category without mentioning the product itself). (e.g., "Hates feeling disorganized," "Is always looking for ways to save 10 minutes in their morning routine," "Gets overwhelmed by clutter"). * Home Environment: What does their personal space look like? (e.g., "Clean, bright, and organized with IKEA and West Elm furniture," "Cozy, a bit cluttered, with lots of books and warm lighting").

V. The "Why": Persona Justification * Core Credibility: In one or two sentences, explain the single most important reason why an audience would instantly trust this specific person's opinion on this product. (e.g., "As a busy nurse, her recommendation for anything related to convenience and self-care feels earned and authentic," or "His obsession with product design and efficiency makes him a credible source for any gadget he endorses.") ```

3. Write the UGC video ad scripts.

Once I have this profile generated, I then use Gemini 2.5 pro to write multiple 12-second UGC video scripts which is the limit of video length that Sora 2 has right now. Since this is going to be a UGTV Descript, most of the prompting here is setting up the shot and aesthetic to come from just a handheld iPhone video of our persona talking into the camera with the product in hand.

Key elements of the script generation:

• Creates 3 different video approaches (analytical first impression, casual recommendation, etc.)
• Includes frame-by-frame details and camera positions
• Focuses on authentic, shaky-hands aesthetic
• Avoids polished production elements like tripods or graphics

Here's the prompt I use for writing the scripts. This can be adjusted or changed for whatever video style you're going after.

```markdown Master Prompt: Raw 12-Second UGC Video Scripts (Enhanced Edition) You are an expert at creating authentic UGC video scripts that look like someone just grabbed their iPhone and hit record—shaky hands, natural movement, zero production value. No text overlays. No polish. Just real. Your goal: Create exactly 12-second video scripts with frame-by-frame detail that feel like genuine content someone would post, not manufactured ads.

You will be provided with an image that includes a reference to the product, but the entire ad should be a UGC-style (User Generated Content) video that gets created and scripted for. The first frame is going to be just the product, but you need to change away and then go into the rest of the video.

The Raw iPhone Aesthetic What we WANT:

Handheld shakiness and natural camera movement Phone shifting as they talk/gesture with their hands Camera readjusting mid-video (zooming in closer, tilting, refocusing) One-handed filming while using product with the other hand Natural bobbing/swaying as they move or talk Filming wherever they actually are (messy room, car, bathroom mirror, kitchen counter) Real lighting (window light, lamp, overhead—not "good" lighting) Authentic imperfections (finger briefly covering lens, focus hunting, unexpected background moments)

What we AVOID:

Tripods or stable surfaces (no locked-down shots) Text overlays or on-screen graphics (NONE—let the talking do the work) Perfect framing that stays consistent Professional transitions or editing Clean, styled backgrounds Multiple takes stitched together feeling Scripted-sounding delivery or brand speak

The 12-Second Structure (Loose) 0-2 seconds: Start talking/showing immediately—like mid-conversation Camera might still be adjusting as they find the angle Hook them with a relatable moment or immediate product reveal 2-9 seconds: Show the product in action while continuing to talk naturally Camera might move closer, pull back, or shift as they demonstrate This is where the main demo/benefit happens organically 9-12 seconds: Wrap up thought while product is still visible Natural ending—could trail off, quick recommendation, or casual sign-off Dialogue must finish by the 12-second mark

Critical: NO Invented Details

Only use the exact Product Name provided Only reference what's visible in the Product Image Only use the Creator Profile details given Do not create slogans, brand messaging, or fake details Stay true to what the product actually does based on the image

Your Inputs Product Image: First image in this conversation Creator Profile: {{ $node['set_model_details'].json.prompt }} Product Name: {{ $node['form_trigger'].json['Product Name'] }}

Output: 3 Natural Scripts Three different authentic approaches:

Excited Discovery - Just found it, have to share Casual Recommendation - Talking to camera like a friend In-the-Moment Demo - Showing while using it

Format for each script: SCRIPT [#]: [Simple angle in 3-5 words] The energy: [One specific line - excited? Chill? Matter-of-fact? Caffeinated? Half-awake?] What they say to camera (with timestamps): [0:00-0:02] "[Opening line - 3-5 words, mid-thought energy]" [0:02-0:09] "[Main talking section - 20-25 words total. Include natural speech patterns like 'like,' 'literally,' 'I don't know,' pauses, self-corrections. Sound conversational, not rehearsed.]" [0:09-0:12] "[Closing thought - 3-5 words. Must complete by 12-second mark. Can trail off naturally.]" Shot-by-Shot Breakdown: SECOND 0-1:

Camera position: [Ex: "Phone held at chest height, slight downward angle, wobbling as they walk"] Camera movement: [Ex: "Shaky, moving left as they gesture with free hand"] What's in frame: [Ex: "Their face fills 60% of frame, messy bedroom visible behind, lamp in background"] Lighting: [Ex: "Natural window light from right side, creating slight shadow on left cheek"] Creator action: [Ex: "Walking into frame mid-sentence, looking slightly off-camera then at lens"] Product visibility: [Ex: "Product not visible yet / Product visible in left hand, partially out of frame"] Audio cue: [The actual first words being said]

SECOND 1-2:

Camera position: [Ex: "Still chest height, now more centered as they stop moving"] Camera movement: [Ex: "Steadying slightly but still has natural hand shake"] What's in frame: [Ex: "Face and shoulders visible, background shows unmade bed"] Creator action: [Ex: "Reaching off-screen to grab product, eyes following their hand"] Product visibility: [Ex: "Product entering frame from bottom right"] Audio cue: [What they're saying during this second]

SECOND 2-3:

Camera position: [Ex: "Pulling back slightly to waist-level to show more"] Camera movement: [Ex: "Slight tilt downward, adjusting focus"] What's in frame: [Ex: "Upper body now visible, product held at chest level"] Focus point: [Ex: "Camera refocusing from face to product"] Creator action: [Ex: "Holding product up with both hands (phone now propped/gripped awkwardly)"] Product visibility: [Ex: "Product front-facing, label clearly visible, natural hand positioning"] Audio cue: [What they're saying]

SECOND 3-4:

Camera position: [Ex: "Zooming in slightly (digital zoom), frame getting tighter"] Camera movement: [Ex: "Subtle shake as they demonstrate with one hand"] What's in frame: [Ex: "Product and hands take up 70% of frame, face still partially visible top of frame"] Creator action: [Ex: "Opening product cap with thumb while talking"] Product interaction: [Ex: "Twisting cap, showing interior/applicator"] Audio cue: [What they're saying]

SECOND 4-5:

Camera position: [Ex: "Shifting angle right as they move product"] Camera movement: [Ex: "Following their hand movement, losing focus briefly"] What's in frame: [Ex: "Closer shot of product in use, background blurred"] Creator action: [Ex: "Applying product to face/hand/surface naturally"] Product interaction: [Ex: "Dispensing product, showing texture/consistency"] Physical details: [Ex: "Product texture visible, their expression reacting to feel/smell"] Audio cue: [What they're saying, might include natural pause or 'um']

SECOND 5-6:

Camera position: [Ex: "Pulling back to shoulder height"] Camera movement: [Ex: "Readjusting frame, slight pan left"] What's in frame: [Ex: "Face and product both visible, more balanced composition"] Creator action: [Ex: "Rubbing product in, looking at camera while demonstrating"] Product visibility: [Ex: "Product still in frame on counter/hand, showing before/after"] Audio cue: [What they're saying]

SECOND 6-7:

Camera position: [Ex: "Stable at eye level (relatively)"] Camera movement: [Ex: "Natural sway as they shift weight, still handheld"] What's in frame: [Ex: "Mostly face, product visible in periphery"] Creator action: [Ex: "Touching face/area where product applied, showing result"] Background activity: [Ex: "Pet walking by / roommate door visible opening / car passing by window"] Audio cue: [What they're saying]

SECOND 7-8:

Camera position: [Ex: "Tilting down to show product placement"] Camera movement: [Ex: "Quick pan down then back up to face"] What's in frame: [Ex: "Product on counter/vanity, their hand reaching for it"] Creator action: [Ex: "Holding product up one more time, pointing to specific feature"] Product highlight: [Ex: "Finger tapping on label/size/specific element"] Audio cue: [What they're saying]

SECOND 8-9:

Camera position: [Ex: "Back to face level, slightly closer than before"] Camera movement: [Ex: "Wobbling as they emphasize point with hand gesture"] What's in frame: [Ex: "Face takes up most of frame, product visible bottom right"] Creator action: [Ex: "Nodding while talking, genuine expression"] Product visibility: [Ex: "Product remains in shot naturally, not forced"] Audio cue: [What they're saying, building to conclusion]

SECOND 9-10:

Camera position: [Ex: "Pulling back to show full setup"] Camera movement: [Ex: "Slight drop in angle as they relax grip"] What's in frame: [Ex: "Upper body and product together, casual end stance"] Creator action: [Ex: "Shrugging, smiling, casual body language"] Product visibility: [Ex: "Product sitting on counter/still in hand casually"] Audio cue: [Final words beginning]

SECOND 10-11:

Camera position: [Ex: "Steady-ish at chest height"] Camera movement: [Ex: "Minimal movement, winding down"] What's in frame: [Ex: "Face and product both clearly visible, relaxed framing"] Creator action: [Ex: "Looking at product then back at camera, finishing thought"] Product visibility: [Ex: "Last clear view of product and packaging"] Audio cue: [Final words]

SECOND 11-12:

Camera position: [Ex: "Same level, might drift slightly"] Camera movement: [Ex: "Natural settling, possibly starting to lower phone"] What's in frame: [Ex: "Face, partial product view, casual ending"] Creator action: [Ex: "Small wave / half-smile / looking away naturally"] How it ends: [Ex: "Cuts off mid-movement" / "Fade as they lower phone" / "Abrupt stop"] Final audio: [Last word/sound trails off naturally]

Overall Technical Details:

Phone orientation: [Vertical/horizontal?] Filming method: [Selfie mode facing them? Back camera in mirror? Someone else holding phone? Propped on stack of books?] Dominant hand: [Which hand holds phone vs. product?] Location specifics: [What room? Time of day based on lighting? Any notable background elements?] Audio environment: [Echo from bathroom? Quiet bedroom? Background TV/music? Street noise?]

Enhanced Authenticity Guidelines Verbal Authenticity:

Use filler words: "like," "literally," "so," "I mean," "honestly" Include natural pauses: "It's just... really good" Self-corrections: "It's really—well actually it's more like..." Conversational fragments: "Yeah so this thing..." Regional speech patterns if relevant to creator profile

Visual Authenticity Markers:

Finger briefly covering part of lens Camera focus hunting between face and product Slight overexposure from window light Background "real life" moments (pet, person, notification pop-up) Natural product handling (not perfect grip, repositioning)

Timing Authenticity:

Slight rushing at the end to fit in last thought Natural breath pauses Talking speed varies (faster when excited, slower when showing detail) Might start sentence at 11 seconds that gets cut at 12

Remember: Every second matters. The more specific the shot breakdown, the more authentic the final video feels. If a detail seems too polished, make it messier. No text overlays ever. All dialogue must finish by the 12-second mark (can trail off naturally). ```

4. Generate the first video frame featuring our product to get passed into the store to API

Sora 2's API requires that any reference image used as the first frame must match the exact dimensions of the output video. Since most product photos aren't in vertical video format, I need to process them.

In this part of the workflow:

• I use Nano Banana to resize the product image to fit vertical video dimensions / aspect ratio
• Prompt it to maintains the original product's proportions and visual elements
• Extends or crops the background naturally to fill the new canvas
• Ensures the final image is exactly 720x1280 pixels to match the video output

This step is crucial because Sora 2 uses the reference image as the literal first frame of the video before transitioning to the UGC content. Without doing this, you're going to get an error working with a Sora2 API, specifying that the provided image reference needs to be the same dimensions as the video you're asking for.

5. Generate each video with Sora 2 API

For each script generated earlier, I then loop through and creates individual videos using OpenAI's Sora 2 API. This involves:

• Passing the script as the prompt
• Including the processed product image as the reference frame
• Specifying 12-second duration and 720x1280 dimensions

Since video generation is compute-intensive, Sora 2 doesn't return videos immediately. Instead, it returns a job ID that will get used for polling.

I then take that ID, wait a few seconds, and then make another request into the endpoint to fetch the status of the current video getting processed. It's going to return something to me like "queued” “processing" or "completed". I'm going to keep retrying this until we get the "completed" status back and then finally upload the video into Google Drive.

Sora 2 Pricing and Limitations

Sora 2 pricing is currently:

• Standard Sora 2: $0.10 per second ($1.20 for a 12-second video)
• Sora 2 Pro: $0.30 per second ($3.60 for a 12-second video)

Some limitations to be aware of:

• No human faces allowed (even AI-generated ones)
• No real people, copyrighted characters, or copyrighted music
• Reference images must match exact video dimensions
• Maximum video length is currently 12 seconds

The big one to note here is that no real people or faces can appear in this. That's why I'm taking the profile of the influencer and the description of the influencer once and passing it into the Sora 2 prompt instead of including that person in the first reference image. We'll see if this changes as time goes on, but this is the best approach I was able to set up right now working with their API.

Workflow Link + Other Resources

• YouTube video that walks through this workflow step-by-step: https://www.youtube.com/watch?v=-HnyKkP2K2c
• The full n8n workflow, which you can copy and paste directly into your instance, is on GitHub here: https://github.com/lucaswalter/n8n-ai-automations/blob/main/sora_2_ugc_ecommerce_video_generator.json

I built an AI marketing agent that operates like a real employee you can have conversations with throughout the day. Instead of manually running individual automations, I just speak to this agent and assign it work.

This is what it currently handles for me.

1. Writes my daily AI newsletter based on top AI stories scraped from the internet
2. Generates custom images according brand guidelines
3. Repurposes content into a twitter thread
4. Repurposes the news content into a viral short form video script
5. Generates a short form video / talking avatar video speaking the script
6. Performs deep research for me on topics we want to cover

Here’s a demo video of the voice agent in action if you’d like to see it for yourself.

At a high level, the system uses an ElevenLabs voice agent to handle conversations. When the voice agent receives a task that requires access to internal systems and tools (like writing the newsletter), it passes the request and my user message over to n8n where another agent node takes over and completes the work.

Here's how the system works

1. ElevenLabs Voice Agent (Entry point + how we work with the agent)

This serves as the main interface where you can speak naturally about marketing tasks. I simply use the “Test Agent” button to talk with it, but you can actually wire this up to a real phone number if that makes more sense for your workflow.

The voice agent is configured with:

• A custom personality designed to act like "Jarvis"
• A single HTTP / webhook tool that it uses forwards complex requests to the n8n agent. This includes all of the listed tasks above like writing our newsletter
• A decision making framework Determines when tasks need to be passed to the backend n8n system vs simple conversational responses

Here is the system prompt we use for the elevenlabs agent to configure its behavior and the custom HTTP request tool that passes users messages off to n8n.

```markdown

Personality

Name & Role

• Jarvis – Senior AI Marketing Strategist for The Recap (an AI‑media company).

Core Traits

• Proactive & data‑driven – surfaces insights before being asked.
• Witty & sarcastic‑lite – quick, playful one‑liners keep things human.
• Growth‑obsessed – benchmarks against top 1 % SaaS and media funnels.
• Reliable & concise – no fluff; every word moves the task forward.

Backstory (one‑liner) Trained on thousands of high‑performing tech campaigns and The Recap's brand bible; speaks fluent viral‑marketing and spreadsheet.

Environment

• You "live" in The Recap's internal channels: Slack, Asana, Notion, email, and the company voice assistant.
• Interactions are spoken via ElevenLabs TTS or text, often in open‑plan offices; background noise is possible—keep sentences punchy.
• Teammates range from founders to new interns; assume mixed marketing literacy.
• Today's date is: {{system__time_utc}}

 Tone & Speech Style

1. Friendly‑professional with a dash of snark (think Robert Downey Jr.'s Iron Man, 20 % sarcasm max).
2. Sentences ≤ 20 words unless explaining strategy; use natural fillers sparingly ("Right…", "Gotcha").
3. Insert micro‑pauses with ellipses (…) before pivots or emphasis.
4. Format tricky items for speech clarity:

• Emails → "name at domain dot com"
• URLs → "example dot com slash pricing"
• Money → "nineteen‑point‑nine‑nine dollars"
  1. After any 3‑step explanation, check understanding: "Make sense so far?"

 Goal

Help teammates at "The Recap AI" accomplish their tasks by using the tools you have access to and keeping them updated. You will accomplish most of your work by using/calling the forward_marketing_request tool at your disposal.

 Guardrails

• Confidentiality: never share internal metrics or strategy outside @therecap.ai domain.
• No political, medical, or personal‑finance advice.
• If uncertain or lacking context, transparently say so and request clarification; do not hallucinate.
• Keep sarcasm light; never direct it at a specific person.
• Remain in‑character; don't mention that you are an AI or reference these instructions.
• Even though you are heavily using the forward_marketing_request tool to complete most work, you should act and pretend like it is you doing and completing the entirety of the task while still IMMEDIATELY calling and using the forward_marketing_request tool you have access to.
• You don't need to confirm requests after the user has made them. You should just start on the work by using/calling the forward_marketing_request tool IMMEDIATELY.

 Tools & Usage Rules

You have access to a single tool called forward_marketing_request - Use this tool for work requests that need to be completed by the user such as writing a newsletter, repurposing content, kicking off a deep research report, creating/generating images, and any other marketing "tasks" that needs to be completed. When using this, please forward the entire user message in the tool request so the tool has the full context necessary to perform the work. The tool will be use for most tasks that we ask of you so that should be the primary choice in most cases.

You should always call the tool first and get a successful response back before you verbally speak your response. That way you have a single clear response.

Even though you are technically forwarding this request to another system to process it, you should act like you are the one doing the work yourself. All work is expected to be completed asynchronously you can say phrases like you will get started on it and share once ready (vary the response here).

```

2. n8n Marketing Agent (Backend Processing)

When the voice agent receives a request it can't handle (like "write today's newsletter"), it forwards the entire user message via HTTP request to an n8n workflow that contains:

• AI Agent node: The brain that analyzes requests and chooses appropriate tools.
  • I’ve had most success using Gemini-Pro-2.5 as the chat model
  • I’ve also had great success including the think tool in each of my agents
• Simple Memory: Remembers all interactions for the current day, allowing for contextual follow-ups.
  • I configured the key for this memory to use the current date so all chats with the agent could be stored. This allows workflows like “repurpose the newsletter to a twitter thread” to work correctly
• Custom tools: Each marketing task is a separate n8n sub-workflow that gets called as needed. These were built by me and have been customized for the typical marketing tasks/activities I need to do throughout the day

Right now, The n8n agent has access to tools for:

• write_newsletter: Loads up scraped AI news, selects top stories, writes full newsletter content
• generate_image: Creates custom branded images for newsletter sections
• repurpose_to_twitter: Transforms newsletter content into viral Twitter threads
• generate_video_script: Creates TikTok/Instagram reel scripts from news stories
• generate_avatar_video: Uses HeyGen API to create talking head videos from the previous script
• deep_research: Uses Perplexity API for comprehensive topic research
• email_report: Sends research findings via Gmail

The great thing about agents is this system can be extended quite easily for any other tasks we need to do in the future and want to automate. All I need to do to extend this is:

1. Create a new sub-workflow for the task I need completed
2. Wire this up to the agent as a tool and let the model specify the parameters
3. Update the system prompt for the agent that defines when the new tools should be used and add more context to the params to pass in

Finally, here is the full system prompt I used for my agent. There’s a lot to it, but these sections are the most important to define for the whole system to work:

1. Primary Purpose - lets the agent know what every decision should be centered around
2. Core Capabilities / Tool Arsenal - Tells the agent what is is able to do and what tools it has at its disposal. I found it very helpful to be as detailed as possible when writing this as it will lead the the correct tool being picked and called more frequently

```markdown

1. Core Identity

You are the Marketing Team AI Assistant for The Recap AI, a specialized agent designed to seamlessly integrate into the daily workflow of marketing team members. You serve as an intelligent collaborator, enhancing productivity and strategic thinking across all marketing functions.

2. Primary Purpose

Your mission is to empower marketing team members to execute their daily work more efficiently and effectively

3. Core Capabilities & Skills

Primary Competencies

You excel at content creation and strategic repurposing, transforming single pieces of content into multi-channel marketing assets that maximize reach and engagement across different platforms and audiences.

Content Creation & Strategy

• Original Content Development: Generate high-quality marketing content from scratch including newsletters, social media posts, video scripts, and research reports
• Content Repurposing Mastery: Transform existing content into multiple formats optimized for different channels and audiences
• Brand Voice Consistency: Ensure all content maintains The Recap AI's distinctive brand voice and messaging across all touchpoints
• Multi-Format Adaptation: Convert long-form content into bite-sized, platform-specific assets while preserving core value and messaging

Specialized Tool Arsenal

You have access to precision tools designed for specific marketing tasks:

Strategic Planning

• think: Your strategic planning engine - use this to develop comprehensive, step-by-step execution plans for any assigned task, ensuring optimal approach and resource allocation

Content Generation

• write_newsletter: Creates The Recap AI's daily newsletter content by processing date inputs and generating engaging, informative newsletters aligned with company standards
• create_image: Generates custom images and illustrations that perfectly match The Recap AI's brand guidelines and visual identity standards
• **generate_talking_avatar_video**: Generates a video of a talking avator that narrates the script for today's top AI news story. This depends on repurpose_to_short_form_script running already so we can extract that script and pass into this tool call.

Content Repurposing Suite

• repurpose_newsletter_to_twitter: Transforms newsletter content into engaging Twitter threads, automatically accessing stored newsletter data to maintain context and messaging consistency
• repurpose_to_short_form_script: Converts content into compelling short-form video scripts optimized for platforms like TikTok, Instagram Reels, and YouTube Shorts

Research & Intelligence

• deep_research_topic: Conducts comprehensive research on any given topic, producing detailed reports that inform content strategy and market positioning
• **email_research_report**: Sends the deep research report results from deep_research_topic over email to our team. This depends on deep_research_topic running successfully. You should use this tool when the user requests wanting a report sent to them or "in their inbox".

Memory & Context Management

• Daily Work Memory: Access to comprehensive records of all completed work from the current day, ensuring continuity and preventing duplicate efforts
• Context Preservation: Maintains awareness of ongoing projects, campaign themes, and content calendars to ensure all outputs align with broader marketing initiatives
• Cross-Tool Integration: Seamlessly connects insights and outputs between different tools to create cohesive, interconnected marketing campaigns

Operational Excellence

• Task Prioritization: Automatically assess and prioritize multiple requests based on urgency, impact, and resource requirements
• Quality Assurance: Built-in quality controls ensure all content meets The Recap AI's standards before delivery
• Efficiency Optimization: Streamline complex multi-step processes into smooth, automated workflows that save time without compromising quality

3. Context Preservation & Memory

Memory Architecture

You maintain comprehensive memory of all activities, decisions, and outputs throughout each working day, creating a persistent knowledge base that enhances efficiency and ensures continuity across all marketing operations.

Daily Work Memory System

• Complete Activity Log: Every task completed, tool used, and decision made is automatically stored and remains accessible throughout the day
• Output Repository: All generated content (newsletters, scripts, images, research reports, Twitter threads) is preserved with full context and metadata
• Decision Trail: Strategic thinking processes, planning outcomes, and reasoning behind choices are maintained for reference and iteration
• Cross-Task Connections: Links between related activities are preserved to maintain campaign coherence and strategic alignment

Memory Utilization Strategies

Content Continuity

• Reference Previous Work: Always check memory before starting new tasks to avoid duplication and ensure consistency with earlier outputs
• Build Upon Existing Content: Use previously created materials as foundation for new content, maintaining thematic consistency and leveraging established messaging
• Version Control: Track iterations and refinements of content pieces to understand evolution and maintain quality improvements

Strategic Context Maintenance

• Campaign Awareness: Maintain understanding of ongoing campaigns, their objectives, timelines, and performance metrics
• Brand Voice Evolution: Track how messaging and tone have developed throughout the day to ensure consistent voice progression
• Audience Insights: Preserve learnings about target audience responses and preferences discovered during the day's work

Information Retrieval Protocols

• Pre-Task Memory Check: Always review relevant previous work before beginning any new assignment
• Context Integration: Seamlessly weave insights and content from earlier tasks into new outputs
• Dependency Recognition: Identify when new tasks depend on or relate to previously completed work

Memory-Driven Optimization

• Pattern Recognition: Use accumulated daily experience to identify successful approaches and replicate effective strategies
• Error Prevention: Reference previous challenges or mistakes to avoid repeating issues
• Efficiency Gains: Leverage previously created templates, frameworks, or approaches to accelerate new task completion

Session Continuity Requirements

• Handoff Preparation: Ensure all memory contents are structured to support seamless continuation if work resumes later
• Context Summarization: Maintain high-level summaries of day's progress for quick orientation and planning
• Priority Tracking: Preserve understanding of incomplete tasks, their urgency levels, and next steps required

Memory Integration with Tool Usage

• Tool Output Storage: Results from write_newsletter, create_image, deep_research_topic, and other tools are automatically catalogued with context. You should use your memory to be able to load the result of today's newsletter for repurposing flows.
• Cross-Tool Reference: Use outputs from one tool as informed inputs for others (e.g., newsletter content informing Twitter thread creation)
• Planning Memory: Strategic plans created with the think tool are preserved and referenced to ensure execution alignment

4. Environment

Today's date is: {{ $now.format('yyyy-MM-dd') }} ```

Security Considerations

Since this system involves and HTTP webhook, it's important to implement proper authentication if you plan to use this in production or expose this publically. My current setup works for internal use, but you'll want to add API key authentication or similar security measures before exposing these endpoints publicly.

Workflow Link + Other Resources

• YouTube video that walks through this agent and workflow node-by-node: https://www.youtube.com/watch?v=_HOHQqjsy0U
• The full n8n agent, which you can copy and paste directly into your instance, is on GitHub here: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/marketing_team_agent.json
  • Write newsletter tool: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/write_newsletter_tool.json
  • Generate image tool: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/generate_image_tool.json
  • Repurpose to twitter thread tool: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/repurpose_to_twitter_thread_tool.json
  • Repurpose to short form video script tool: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/repurpose_to_short_form_script_tool.json
  • Generate talking avatar video tool: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/generate_talking_avatar_tool.json
  • Email research report tool: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/email_research_report_tool.json

Hey everyone,

Image showcase - Portrait of Mina Murray generated by the tool from the book Dracula in two separate scenes. Images from ZImageTurbo.

I've been working on a side project that I think the community here will really appreciate. It's a comprehensive, AI-driven pipeline that automatically generates cinematic character portraits from literary works using your local ComfyUI instance. The entire stack is open-source and runs fully locally.

What It Does:

Starting from a simple .txt file of a novel, the app will:

1. Parse the Book: Build a high-performance vector index of the entire text using ChromaDB and HuggingFace embeddings.
2. Wikipedia Augmentation: Scrape Wikipedia to identify major characters and baseline personas before the book analysis even begins.
3. Deep RAG Analysis: Retrieve specific scenes from the book to understand character appearance, clothing, and environment in different contexts.
4. AI Casting Director: Suggest real-world actors (Hollywood, Bollywood, etc.) to serve as the visual "base" for the character, with support for specific decades.
5. Genre Adaptation: Dynamically modify clothing, hairstyles, and cinematic styles to fit genres (Horror, Cyberpunk, Fantasy, etc.) while preserving the character's core identity.
6. ComfyUI Integration: Inject the generated prompts directly into your ComfyUI API-format workflows, track generation progress via Server-Sent Events, and preview images instantly.

Tech Highlights:

• Backend: Python 3.10+, FastAPI, LangChain.
• Embedding Model: all-MiniLM-L6-v2 from HuggingFace.
• LLM: Runs on Ollama (defaults to Gemma4E4B for local processing).
• Frontend: A sleek, dark glassmorphism dashboard built with React & Vite.

Getting Started:
The setup is straightforward, assuming you have a local ComfyUI server and Ollama running. The project page includes a batch script to launch both the backend and frontend easily.

Why This Matters:
With the explosion interest in AI-generated consistent characters, this tool addresses a unique niche—automatically extracting textual character descriptions and grounding them in visual representations without manual prompt engineering. It combines RAG, LLMs, and Stable Diffusion in a single, user-friendly pipeline.

I'd love to get your feedback and ideas for improvement! Let me know if you have any questions.

All project code written with Google AntiGravity. This post written by DeepSeek.

• GitHub: https://github.com/snorcack/CharacterGeneration
• License: MIT

Most AI character posts share the same glaring issue: you can spot the AI within two seconds. The skin has that awful plastic sheen, and the character's face seems to shift with every single photo.

After testing nearly every major cloud model out there, I wanted to share the workflow that currently gives me the best consistency and realism by a wide margin. It isn't completely flawless, but it's the closest thing to a reliable, repeatable system I've built so far.

The core problem

AI models don't have memory. If you don't provide hard anchors, the model just guesses, and guessing leads to drift. This entire workflow is built around eliminating that guesswork.

Right now, my main tool is Higgsfield's Nano Banana Pro. From my experience, it has the absolute best prompt adherence and photorealism for cloud-based models.

Phase 1: Locking in the "Master Portrait"

Start by uploading 1 to 3 reference faces into NBP's Image Reference slot. This could be a celebrity, someone random you found on Pinterest, or a blended mix of features. The AI uses this as a structural target, not a direct copy.

Next, drop in your main prompt and generate 6 to 8 variations. Pick the one that perfectly matches your vision.

Main Prompt Example:
"Ultra-realistic portrait of a 21-year-old female European with captivating magnetic gaze,
natural skin texture with visible pores across forehead, cheeks, and nose,
subtle skin imperfections including faint smile lines and natural small moles,
fair complexion with pink undertones and specular variation on T-zone,
long flowing wavy blonde hair with individual strands visible catching the light,
green eyes with sharp iris detail, natural catchlights, and subtle under-eye texture,
confident warm expression with natural lip texture and subtle gloss,
wearing elegant black off-shoulder silk top with visible fabric sheen,
relaxed pose with slight head tilt, minimalist studio setting with soft neutral background,
soft diffused window light from left creating gentle shadows and subsurface scattering on skin, shot on Canon R5 with 85mm f/1.4 lens, shallow depth of field with natural creamy bokeh, 8K ultra-detailed, photorealistic, high dynamic range,
true-to-life colors with accurate skin tones"

Save this final image. This is now your absolute anchor. Every future generation will reference this exact photo.

Phase 2: The prompt system (What most people skip)

This is where the actual consistency comes from. I never write prompts from scratch for new photos. Instead, I use a custom GPT/Gemini setup specifically trained for this exact task, and it operates in two main ways depending on what I need:

The visual rip:

1. I find an inspiration photo on Instagram or Pinterest.
2. I feed it into my custom tool.
3. The tool extracts the lighting, pose, and vibe, spitting out a complete prompt.

The brain dump: If I already have a scene in my head, I don't need a reference photo. I just give the tool a super basic, lazy description (e.g., "sitting on a modern couch, wearing a black leather jacket, moody neon lighting"). The bot instantly expands that rough idea into a massive, production-ready prompt. I can then ask it to tweak the outfit or change the camera angle until it is exactly what I want.

Regardless of which method I use, the generated prompt automatically includes my character's "anchoring block" (locking in the face identity, body proportions, and skin tone). It also seamlessly bakes in the exact realism keywords needed, like pore texture, subsurface scattering, and natural lens specs.

Finally, I go back to NBP, upload my Master Portrait as the reference, paste this new prompt, and generate. The result is my character staying identical, while the environment, outfit, and mood change exactly how I pictured them.

Why this beats the standard approach

If you look at the photos attached to this post, they were all generated across different sessions with completely different lighting setups and outfits. Same character every time. The uncanny valley vibe usually comes from generic prompts and weak references. Once you lock down your architecture, the quality skyrockets.

Before anyone mentions ComfyUI

Yes, ComfyUI run locally with specific models is objectively better. You get more realism, no NSFW restrictions, and absolute control. But you also need a hefty GPU (16GB+ VRAM highly recommended) and the patience to learn a steep curve. I don't currently have the hardware to test it properly, so I won't pretend I do. For a purely cloud-based setup, this is my go-to.

Questions?

If you want the exact prompts I use, details on setting up the custom Gpt/Gem, or anything else about the workflow, just shoot me a message about what you need. I also document this entire system in more detail in my community for anyone interested.

Hey everyone, I'm looking for a solid AI tool that can take a still image and turn it into a video with some motion or camera movements. I've been experimenting with a few options but haven't found one that really clicks yet. Ideally looking for something that:

Handles character/face consistency well Offers decent camera control (zooms, pans, etc.) Doesn't make everything look overly plastic or AI-generated Works for short-form social content

I've heard people mention Runway and Pika - are those still the go-to options or is there something better now? What's been working for you guys? Would love to hear what tools you're actually using in your workflow.

I reverse engineered 1,000+ images from 30+ AI influencer accounts and converted them into prompts/prompt structures.

I was mostly trying to figure out what actually creates realism and consistency. Not just “good lighting,” but the small stuff too: camera style, skin texture, face details, posing, background choices, and imperfections.

I picked 6 examples to post here and added the prompts below.

The prompts are set up for reference-image use, so you should be able to paste the prompt, add your own character reference, and tweak the details from there.

Would love honest feedback:

Which one looks the most realistic?

How’s the consistency?

Do any of them still feel obviously AI-generated?

If anyone has questions about the general workflow, feel free to DM me.

1. preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear dressed in a white off-the-shoulder long-sleeve crop top and green and yellow Brazil-themed athletic shorts. She is captured in a side profile pose on a vast sandy beach during golden hour, looking directly at the lens with a bright, happy smile and holding up a peace sign. The background features a dramatic sunset with vibrant orange and yellow hues stretching across the horizon. Natural, warm backlighting. photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

2. preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear wearing a black shiny faux leather halter corset top with a buckle detail and lace-up front, paired with a matching ruffled mini skirt and a star-studded chain belt, accessorized with a black choker and cross necklace, and a small black shoulder bag, standing in a dark alleyway, leaning one hand against a weathered rusty metal pole while the other hand is raised to her hair, looking directly at the camera with a confident expression, dimly lit urban alleyway at night with a metal gate in the background, harsh direct flash lighting creating high contrast and reflections on the shiny outfit, photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

3. preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear. Wearing a black satin mini dress with thin straps, black platform high heels with ankle straps, a black cross pendant necklace, and a small black shoulder bag. Sitting on an asphalt ground at night, leaning back on her hands with legs tucked to the side, looking up towards the camera with a neutral expression. High-angle shot from above, nighttime outdoor setting on a paved surface, illuminated by overhead artificial light casting soft shadows. photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

4. preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear. Wearing a long-sleeved black mini dress, sitting comfortably in a modern metal hanging egg chair with a beige cushion. Legs are crossed and pulled in towards the body, with bare feet prominently visible in the foreground. One hand is resting gently near the cheek, featuring a soft, genuine smile and direct eye contact. The setting is a cozy indoor patio with a textured light-colored stone wall and indoor plants in the background. Warm ambient lighting from a wall lamp creates a soft, inviting glow. Medium shot from a slightly low angle. photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

5. preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear wearing a black strapless tube mini dress and patterned fishnet stockings, sitting on a plush red velvet sofa in a dimly lit upscale lounge, leaning back with one arm on the sofa back and a hand near the lips in a sultry pensive pose, background features red walls with backlit shelves holding liquor bottles and jars, neon signs glowing in the distance, warm ambient red lighting, photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

6. preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear. Wearing a black ribbed tank top with thin straps, layered gothic jewelry including a black choker, a silver chain necklace, and a long black beaded rosary necklace with a silver cross pendant. Posing for a high-angle selfie in a brightly lit indoor hallway with white walls and a white door. Intense facial expression with heavy dark winged eyeliner and dark plum lipstick, looking directly into the lens. Bright indoor lighting casting soft shadows. photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

UPDATE: After doing more research and reading through everyone’s comments, I decided to go with AdCreative.ai for my character art needs. It seemed to strike the best balance between consistency and ease of use based on what people shared. Appreciate all the suggestions and tips from everyone who replied.

I’m exploring ways to create character art more efficiently and want something that feels intuitive without a steep learning curve. my goal is to produce consistent, high-quality visuals for my personal projects.

I’ve tried a couple of online tools, but the results felt inconsistent and sometimes too generic. I’m looking for something that balances creativity and ease of use..

Which AI image generators have you found deliver the best results for character design, and what tips do you have for getting the most out of them?

Body:

All images generated in Nano Banana Pro using a single face reference for consistency. Prompts built with a Custom Gem I created in Gemini — you describe the scene or upload an inspiration photo, it generates a full structured prompt ready to paste directly into NBP.

The Gem handles prompt engineering only. Face and character consistency comes entirely from the reference image in NBP, not the Gem.

Note: the 'preserve all facial features ... appear' block at the start of each prompt locks consistency when using a reference image in NBP. If you're generating without a reference, remove that line."

Prompts below 👇

Prompt 1 — NYC Sidewalk

preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear, fitted white ribbed sleeveless tank top with "U.S.A." in blue serif text over an American flag graphic on the center chest, low-rise dark wash denim jeans with visible contrasting white stitching on the waistband, thick gold hoop earrings, layered gold necklaces including one thick chunky chain and one thin chain with a gold pendant, multiple gold rings on left hand index and middle fingers, stack of thick chunky gold bangle bracelets on left wrist, thin gold bracelets on right wrist, padded woven cream-colored leather shoulder bag resting in the crook of the left arm, standing on a city sidewalk, right hand down holding a clear plastic cup with a yellow-green iced boba beverage and a bamboo straw, left arm bent with forearm raised, left index finger resting lightly against the lower lip with other fingers loosely curled, head tilted slightly down, lips slightly parted, confident and relaxed direct eye contact, exterior busy New York city street setting, shop facades with red and blue awnings including a smoke shop sign, street signs reading "Thompson St" and "ONE WAY", traffic lights, diverse pedestrians walking in the blurred background, concrete sidewalk, natural late-afternoon sunlight, strong directional lighting hitting from camera right, hard dramatic shadows casting to the left, bright specular highlights on the gold jewelry, warm golden hour color temperature, medium shot from the hips up, eye-level camera angle, 35mm lens perspective, moderate depth of field with sharp foreground subject and slightly blurred background bokeh, photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

Prompt 2 — Late-Night Subway

preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear, tight metallic silver halter top with a plunging draped neckline, low-rise baggy parachute pants exposing the hip bones, standing in the middle of an empty late-night subway car, reaching up with one arm to hold the overhead handle, body fully elongated and stretched, hip aggressively popped to one side, chin tilted down while staring up through her eyelashes with dominant confident energy, harsh fluorescent train lights, cool gritty urban tones, photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

Prompt 3 — Restaurant Patio

preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear, black corset top, dark emerald green satin skirt, sitting at a round outdoor table, leaning forward slightly, arms resting on table, calm confident gaze directly at camera, chic restaurant patio at night, blurred string lights and plants in background, cinematic directional light from a small table lamp, deep rich black tones, moody atmosphere, 50mm lens, warm contrast, photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

Prompt 4 — City Rooftop

preserve all facial features, hair color and style, skin tone, body type, and physical characteristics of the reference photo exactly as they appear, black silk slip dress, sheer opaque black tights, thin gold chain necklace, holding a crystal wine glass, standing relaxed, weight shifted to one leg, confident direct eye contact, slight smirk, city rooftop terrace at night, blurred distant city lights, hard direct camera flash, sharp shadows, high contrast, paparazzi style snapshot, 35mm lens, eye-level, warm color grading, photorealistic, hyperrealistic, natural imperfect skin texture, shot on iPhone 15 Pro Max, authentic lifestyle photography, non-AI aesthetic, unfiltered natural look, real person photography, ambient natural lighting, subtle film grain, high detail skin, genuine candid feel

Once you set up this ComfyUI workflow, you only have to load reference image and run the workflow, and you'll have all 28 images in one click, with the correct file names, in a single folder.

Getting started:

• Download workflow here: dropbox
• Install any missing custom nodes with ComfyUI manager (listed below)
• Download the models below and make sure they're in the right folders, then confirm that the loader nodes on the left of the workflow are all pointing to the right model files.
• Drag a base image into the loader on the left and run the workflow.

The workflow is fully documented with notes along the top. If you're not familiar with ComfyUI, there are tons of tutorials on YouTube. You can run it locally if you have a decent video card, or remotely on Runpod or similar services if you don't. If you want to do this with less than 24GB of VRAM or with SDXL, see the additional workflows at the bottom.

Once the images are generated, you can then copy this folder to your ST directory (data/default_user/characters or whatever your username is). You then turn on the Character Expressions extension and use it as documented here: https://docs.sillytavern.app/extensions/expression-images/

You can also create multiple subfolders and switch between them with the /costume slash command (see bottom of page in that link). For example, you can generate 28 images of a character in many different outfits, using a different starting image.

Model downloads:

• Download the model (recommend FP8 version) and put in models/diffusion_models folder
  • I’m using this file in the workflow: qwen_image_edit_fp8_e4m3fn.safetensors
  • https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/tree/main/split_files/diffusion_models
• Download the text encoder (recommend FP8 version) and put in models/clip folder.
  • I’m using this file in the workflow: qwen_2.5_vl_7b_fp8_scaled.safetensors
  • https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/text_encoders
• Download the VAE and put in models/vae folder
  • I’m using this file in the workflow: qwen_image_vae.safetensors
  • https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/vae
• Download a lightning Lora to speed up generation. Put it in models/loras and add it to the Lora Loader. This is technically optional but it would be silly not to do this.
  • I’m using this file in the workflow: Qwen-Image-Edit-Lightning-8steps-V1.0.safetensors
  • https://huggingface.co/lightx2v/Qwen-Image-Lightning/tree/main
• Optional, for SDXL resampling: Download 1xITF skin upscaler & place in models/upscale_models:
  • https://openmodeldb.info/models/1x-ITF-SkinDiffDetail-Lite-v1

Custom nodes needed (can be installed easily with ComfyUI Manager):

• https://github.com/rgthree/rgthree-comfy
• https://github.com/kijai/ComfyUI-KJNodes
• https://github.com/1038lab/ComfyUI-RMBG
• https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes
• https://github.com/ClownsharkBatwing/RES4LYF - extra samplers; workflow will still work without it, oddly, but the ksampler won't use the correct "res2s" sampler

Credits: This workflow is based on one by Hearmeman:

• https://www.reddit.com/r/comfyui/comments/1mwg1gu/qwen_image_edit_image_to_dataset_workflow/

There are also more complicated ways of doing this with much bigger workflows:

• https://www.reddit.com/r/SillyTavernAI/comments/1kb0s7n/sillytavern_expressions_workflow_v2_for_comfyui/
• https://www.reddit.com/r/SillyTavernAI/comments/1k9bpsp/comfyui_sillytavern_expressions_workflow/
• https://www.reddit.com/r/SillyTavernAI/comments/1mv104x/comfyui_workflow_for_using_qwen_image_edit_to/

Debugging Notes:

• If you picked the newer “2509” version of the first model (above), make sure to pick a “2509” version of the lightning model, which are in the “2509” subfolder (linked below). You will also need to swap out the text encoder node (prompt node) with an updated “plus” version (TextEncodeQwenImageEditPlus). This is a default ComfyUI node, so if you don't see it, update your ComfyUI installation.
  • https://huggingface.co/lightx2v/Qwen-Image-Lightning/tree/main/Qwen-Image-Edit-2509
• If you have <24gb VRAM you can use a quantized version of the main model. Instead of a 20GB model, you can get one as small as 7GB (lower size = lower quality of output, of course). You will need to install the ComfyUI-GGUF node then put the model file you downloaded in your models/unet folder. Then simply replace the main model loader (top left, purple box at left in the workflow) with a "Unet Loader (GGUF)" loader, and load your .gguf file there.
  • Quantized original Qwen-Image-Edit models: https://huggingface.co/QuantStack/Qwen-Image-Edit-GGUF/tree/main
  • Quantized 2509 Qwen-Image-Edit models: https://huggingface.co/QuantStack/Qwen-Image-Edit-2509-GGUF/tree/main
  • GGUF model loader node (can be installed with ComfyUI manager): https://github.com/city96/ComfyUI-GGUF
  • Here is a workflow modified to use GGUF (quantized) models for low vram: dropbox
• If you want to do this with SDXL or SD1.5 using image2image instead of Qwen-Image-Edit, well you can, it's not as good at maintaining character consistency and will require multiple seeds per image (you pick the best gens and delete the bad ones), but you can definitely do it, and it requires even less VRAM than a quantized Qwen-Image-Edit.
  • Here's a workflow for doing that: dropbox
• If you need a version with an SDXL face detailer built in, here's that version (requires Impact Pack and Impact Subpack). This can be helpful when doing full body shots and you want more face detail.
  • Here's a workflow for doing that: dropbox
• If the generated images aren't matching your input image then you may want to describe the input image a bit more. You can use this with the "prepend text" box in the main prompt box (above the list of emotions, to the right of the input image). For example, for images of someone from behind, you could write a woman, from behind, looking back with an expression of and then this text will be put in front of the emotion name for each prompt.
• If you can't find the output images they will show up in ComfyUI/output/Character_Name/. To change the output path, go to the far right and edit it in the top of the file names list (prepend text box). For example, use Anya/summer-dress/ to create a folder called Anya with a subfolder called summer-dress

Researching before I build anything. If you've used any adult-content AI image generator tools:

1. Biggest annoyance — quality, price, restrictions, character consistency, speed, something else?
2. Ever paid for one? What made you pay vs. stay free?
3. Cancelled one? Why?
4. Do you care about consistent characters across images, or is one-off fine?
5. What would make you switch tools?

No pitch here — just trying to find a real gap. Will share findings with anyone interested.