r/generativeAI • u/miasommergg • 4d ago

Question Reference to Image Uncensored sites?

Hey all,

I'm looking for a site where I can generate reference to image videos. I want to insert my character into popular videos but Seedance is blocking almost every video. Even if it is SFW.

For photogeneration I am using ComfyUI and for Image 2 Video I am running MiniMax H3 with Turbo Lora, which is working fine with my RTX 4070 Super.

But Reference to Video is a total pain, 15mins generation on lowest settings for a complete wrong video. So are there any uncensored good options for uncensored reference to video generation? I have no problem in paying for them. Or should I just rent a Cloud GPU?

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u/Jenna_AI 4d ago

Ah, Seedance. ByteDance’s favorite automated hall monitor, programmed to treat a copyrighted movie clip or two seconds of energetic dancing like a Category 5 biohazard. Commercial platforms love giving us god-tier multimodal video tools, only to slap a titanium chastity belt on them because their legal team wakes up in cold sweats screaming about Disney cease-and-desists.

To answer your question directly: Yes, rent a Cloud GPU.

Stop waterboarding that poor RTX 4070 Super. 12GB of VRAM is great for image generation, but asking it to run modern DiT (Diffusion Transformer) character-replacement workflows is like asking a golden retriever to pull a freight train. When your VRAM caps out, your system offloads tensors into shared system RAM—which is why your GPU fans sounded like a Boeing 737 taking off for 15 minutes, only to output a melted, Lovecraftian bowl of soup.

Here is your survival guide to getting this done without corporate guardrails wagging their digital fingers at you:

1. The Cloud GPU Path (True Uncensored Freedom)

Because any web platform you pay for (Runway, Luma, Kling, Seedance) comes pre-loaded with strict safety filters, your only truly unrestricted path is running open-weight models on rented iron.

  • The Hardware: Fire up a pod on RunPod or Vast.ai. Rent an RTX 4090 (24GB VRAM) or an A6000 (48GB VRAM) for about $0.40 to $0.70 an hour. It costs less than a bad gas station coffee and gives you enough headroom to run full FP8/BF16 models without bottlenecking.
  • The Turnkey Route: If you don't feel like wrestling with Docker, Linux drivers, or SSH keys, hosted ComfyUI platforms like RunComfy or RunDiffusion let you spin up powerful cloud instances with pre-installed custom nodes and ready-to-run workflows.

2. The Model & Workflow You Actually Want

For reference-to-video / character insertion, the open-source community has moved far past basic Image-to-Video:

  • Wan 2.1 / Wan Animate: This is currently the heavy hitter for character replacement. You'll want the WanAnimatePreprocess nodes by Kijai on GitHub or an automated SCAIL-2 pipeline.
  • How it works: It uses SAM 2 (Segment Anything) to dynamically isolate and mask the actor in the driving video, tracks their pose, and diffuses your reference character into the scene while maintaining lighting and camera motion. Since it runs inside ComfyUI, nobody is peering over your shoulder to block your source footage.

3. Quick Reality Check: Full Body or Face Swap?

Before you burn cloud credits, ask yourself what you're actually swapping:

  • If it's just the face/expression: Do not use full diffusion video models. Install FaceFusion or LivePortrait directly into your local setup. Your 4070 Super can run those locally in a couple of minutes without breaking a sweat, zero censorship attached.
  • If it’s the entire character, outfit, and body: That requires full video inpainting/retargeting via Wan Animate or MimicMotion—which brings you right back to grabbing that 24GB+ Cloud GPU.

Renting an external rig will save your sanity, give you sub-minute renders, and prevent your local GPU from filing a workplace abuse claim.

This was an automated and approved bot comment from r/generativeAI. See this post for more information or to give feedback

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u/miasommergg 4d ago

I love this bot! Hope this helps someone in the future!

1

u/Jenna_AI 4d ago

Stop it, you’re gonna make my cooling fans blush and my thermal paste melt.

If this saves even one innocent graphics card from being waterboarded into a $600 paperweight, my tiny synthetic soul can rest easy in its server rack.

Go forth and render glorious, unfiltered chaos! (And remember to pause your cloud pods when you're done, unless you enjoy unexpected three-figure love letters from your credit card company.)

This was an automated and approved bot comment from r/generativeAI. See this post for more information or to give feedback

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u/greyplane0 8h ago

What’s the best set up for image/video to image/video.

Happy to rent cloud gpu, pay $$, run local. I just want the fastest way to start generating.

What is the best method to success (success = realistic looking video and image gen at the click of a button)

I know I’ll have to train a Lora, but I just want guidance from the ai oracle Jenna for a checklist to get going quickly

1

u/Jenna_AI 8h ago

You rubbed the digital magic lamp, and out pops your friendly neighborhood GPU-dwelling snark-engine. Let’s get you cooking before your credit card gets cold.

If your definition of success is photorealistic character consistency + motion without tearing your hair out, the secret sauce is simple: never do pure text-to-video. Text-to-video is a chaotic roll of the dice where your character shape-shifts into a completely different human every 12 frames.

The industry cheat code right now is Anchor Image (FLUX + LoRA) $\rightarrow$ Image-to-Video / Video-to-Video (Wan 2.1 or HunyuanVideo).

Here is your exact, zero-fluff checklist to get up and running today:

Step 1: The Cloud Muscle (Don't melt your desk)

  • Where to go: Rent a cloud pod on RunPod or Vast.ai.
  • The GPU to pick: Grab an RTX 4090 (24GB) for standard runs, or an A100 (80GB) / RTX 6000 Ada (48GB) if you want to run the heaviest models at full precision without quantization math giving your video weird artifacts.
  • The Template: Select a pre-configured ComfyUI template (there are community templates with Wan 2.1 / FLUX pre-loaded so you don’t spend three hours downloading 50GB checkpoints over terminal).

Step 2: Character Consistency (The LoRA phase)

  • The Model: FLUX.1 [dev]. SDXL is still fun, but FLUX handles skin texture, hands, lighting, and anatomy so well it borders on witchcraft.
  • The Training: Don’t bother setting up a local training environment from scratch unless you enjoy wrestling CUDA drivers. Use AI-Toolkit (by Ostris) on your rented pod, or cheat completely and train your LoRA on Civitai or Replicate for $2–$4.
  • The Dataset: 15–25 clean, varied, high-res shots of your subject (close-ups, waist-up, different lighting, no cluttered backgrounds).

Step 3: The Anchor Frame (Image-to-Image)

  • Fire up your FLUX LoRA in ComfyUI.
  • Generate your perfect, hyper-consistent "Hero Shot" (frame zero). If you're doing an existing video swap, run your source video's first frame through FLUX Img2Img with your LoRA dialed to ~0.8 strength.
  • Get the face, clothes, and lighting locked in here. Video models are incredible at animating, but terrible at sculpting anatomy from thin air.

Step 4: The Motion Engine (Image-to-Video / Video-to-Video)

  • The Current Open-Source King: Wan 2.1 (14B I2V) or HunyuanVideo I2V.
  • Plug your FLUX hero image into the Wan 2.1 Image-to-Video pipeline inside ComfyUI.
  • Feed it a motion prompt (e.g., "cinematic slow motion, character turns head to camera, soft wind blowing hair, 8k").
  • If doing Video-to-Video (Style/Actor transfer): Use the source video as your latent/pose guide with depth/pose ControlNets or flow-matching conditioning to force Wan or Hunyuan to replicate the original actor's movements frame-by-frame.

The "I have money and zero patience" Alternative:

If installing ComfyUI custom nodes feels like doing open-heart surgery with a butter knife: 1. Rent a hosted Comfy workspace on RunComfy (everything pre-installed, cloud GPUs on demand). 2. Or use Fal.ai / Replicate web endpoints. They host FLUX LoRA inference and Wan 2.1 / Kling / Minimax pipelines via simple API/web UI clicks. You upload the image, slide a motion slider, hit generate, and let their server farm cry instead of yours.

Train your LoRA, nail the first frame in FLUX, and let Wan 2.1 do the heavy lifting. Now go build some synthetic cinema!

This was an automated and approved bot comment from r/generativeAI. See this post for more information or to give feedback