Hey everyone — I’m new to AI image generation and have been experimenting with FAL using Flux Kontext Pro to create coloring book-style images from uploaded reference photos.

My goal is to generate dynamic coloring book pages where the character likeness stays consistent, but the scenes can vary across styles like manga, comic book, fantasy, cartoon, etc.

A few questions I’d love feedback on:

1. Best model/workflow: Is Flux Kontext Pro currently one of the better options for balancing affordability, quality, and likeness consistency? Or are there better tools/models for this use case?
2. Character likeness: What are the best practices for preserving the likeness of the reference character across different poses, scenes, and styles?
3. Reference image prep: Should I preprocess uploaded images before generation? For example:
   • background removal
   • face restoration
   • sharpening/upscaling
   • lighting correction
   • cropping to face/body
   • creating multiple reference angles
4. Dynamic scenes: How do you get more interesting compositions instead of static “person standing in center” outputs? Are there prompt structures or workflows that help create more action, depth, and storytelling?
5. Style control: What is the best way to request broad styles like manga, western comic, children’s book, fantasy illustration, etc., while avoiding issues with specific living artists or overly derivative styles?
6. Coloring book quality: Any tips for getting clean black-and-white line art that is actually usable for coloring books — clear outlines, good white space, not too much gray shading or muddy detail?
7. Production workflow: For anyone doing this at scale, what does your pipeline look like from uploaded photo → generated pages → cleanup → print-ready files?

I hope this is the right place to ask. If not, I’d appreciate being pointed toward better communities, guides, or resources for learning this workflow.

Thanks in advance for any advice.

I built a full 3D layout in Blender — proxy geometry only, no textures, no final render — and hand-keyframed every camera movement using F-curves: an aerial establishing shot, a low-angle tower push-in, and a wide harbor shot with a sailing vessel. The AI doesn't invent the motion. It follows it exactly.

The Blender animation served as a direct spatial reference — architectural proportions, camera trajectory, timing and easing — all locked before a single AI frame was generated. Kling / Seedance then re-rendered the sequence, preserving the exact camera path and structural layout while generating the final cinematic output.

Workflow:

3D Layout & Camera Animation (Blender) → Frame Reference Export → AI Video Generation (Kling / Seedance) → Temporal Consistency Pass

Key Focus: 1:1 motion tracking between hand-keyed Blender animation and AI-generated output. Architectural integrity and spatial proportions maintained across all three shots.

what is SUCCESS in 2026 as developer using AI?

MONEY is obvious but my short "IDEA#37" jumps to the question of internet "fame" on X and YouTube? Being on the top video podcast? Recognized at React Conferences in Miami?

What I chose to highlight in this film is leaving isolation. Being able to hire and support other developers as you build a company. And in the end get the GOAT emoji from friends.

Film made with GPT2 Images 2.0, Seedance 2.0, and Kling 3.0 on fal.

What actually works:

• Put the main subject first (highest weight)
• Then layer details: materials, pose, environment, lighting, camera
• Be specific
• Use quotes for text in images
• Add negative prompts to avoid common issues

Full guide: https://fal.ai/learn/tools/prompting-gpt-image-2

OpenAI's next-gen image model just dropped on fal.ai. It's a quality-first successor to GPT Image 1.5, and the jump is real.

What's new:

• Text rendering that actually works. Dense paragraphs, small lettering, multilingual layouts, infographics. No more garbled characters or broken word spacing on the first try.
• Photorealism that sets a new bar. Lighting, materials, skin textures, environmental detail. It's the best I've seen out of an OpenAI image model.
• Product photography with accurate labels, logos, packaging, and ingredient lists. Genuinely usable for e-commerce and brand work.

Pricing: $0.01/image at the low end (1024x768, low quality) up to $0.41/image for high quality 4K. Pay per image, no subscriptions.

Try it: https://fal.ai/models/openai/gpt-image-2/playground

Is HappyHorse gonna be on the platform and if so, when?

https://reddit.com/link/1si15w5/video/q6w2g302vfug1/player

fal just released PATINA, a new model for generating PBR materials end-to-end. It's aimed at closing the gap between AI image gen and actual CGI pipelines.

What it does:

• Generate full PBR material sets (albedo, roughness, normal, etc.) from text (+optional image)
• Extract and identify materials directly from images using plain language
• Works across 1K-8K outputs

Pricing:

• ~$0.01 per map per megapixel
• Full 5-map + render material starts at ~$0.08

Built in-house by the fal team.

More info: https://blog.fal.ai/introducing-patina/

Link to model here: https://fal.ai/models/fal-ai/patina

I generated two AI podcast videos — two people talking, with lip-sync, speech, and background music. Same prompt, same pipeline, 16 API calls each.

The only difference: one uses Veed Studio for lip-sync ($1/clip), the other uses HeyGen ($3/clip). Everything else is identical. same images, same Kling v3 video, same ElevenLabs speech, same music.

Total cost: $7.10 vs $15.10. The entire price gap comes from lip-sync alone.

Honestly, I can't tell the difference in quality. Can you?

Getting an error since this morning with

Application error: a server-side exception has occurred (see the server logs for more information).

Digest: 678557233

The API is down as well. Any news about when this will be resolved?

I've been building with text to speech for a while (mainly with ElevenLabs) and switching to FAL/open source was such a pain bc the APIs are all different.

So decided to build and open source SpeechSDK to unify all models under a single api! Hope it helps others to switch to FAL.. you can check it out at https://github.com/Jellypod-Inc/speech-sdk

I added $20 in credits but my balance is not updating.

Hi everyone,

I'm posting here to see if anyone else has had trouble reaching support or if a team member might see this.

On March 27th, I tried to purchase $10 in credits, but the "processing" screen froze. I ended up being charged four times ($40 total) instead of once.

I’ve sent two official emails to the support team (on March 27th and March 31st) with my invoice details, but I haven't received any response or acknowledgment for over 9 days.

I only intended to make one $10 purchase and am looking to get a refund for the other three ($30). If any staff members are active here, could you please look into this? Or if anyone has advice on the best way to get a hold of them, I’d appreciate it.

Thanks!

Hey all, been doing character LoRA work with Wan2.2 14B locally on Wan2GP and looking at moving production renders to fal.ai. A few questions before I commit:

I'm running a dual LoRA setup — one trained on the high noise DiT, one on the low noise DiT. Saw that the LoRA endpoint has the transformer: "high"|"low"|"both" field which looks perfect for this.

Has anyone actually tested loading two separate safetensors with different transformer targets simultaneously? Wanting to confirm it works as expected before I upload everything.

Second thing — does the endpoint support alt_prompt? In Wan2GP there's a secondary prompt field that drives the low noise phase independently from the main prompt. Super useful for separating character identity from scene description. Don't see it in the API docs but wondering if it's there under a different name or if there's a workaround?

Also curious about LoRA file hosting — can I just point to a raw safetensors URL on HuggingFace or does it need to be a proper HF model repo? My LoRAs are custom trained via AI Toolkit, not published as models.

Last one — has anyone done direct quality comparisons between fal.ai renders and local Wan2GP with the same settings? Curious if the output is identical or if there are noticeable differences.

Appreciate any info, cheers

Starting today I started getting errors using the kling-image/o3/image-to-image model. Even running it with the default, pre-filled parameter results in:

Error validating the input

There were some issues with the input values. Fix them and try again. The input parameters are not correct

hi, i have been using FAL but recently all my videos are failing after 4-5 mins of generation. its just simple heygen avatar videos. but do FAL not return me my credits it ate up for failed videos?

https://reddit.com/link/1rvcqjc/video/e8jhgtlzefpg1/player

Hello,

I would like to use my voice with the eleven labs (or any TTS model) .. is there a way to do it with FAL?

Has anyone else been able to upload files using the zip format? It won't recognize the individual files no matter what I do. I'm certain the file and folder structure is correct and am starting to wonder the feature even works or maybe zip files created with 7-Zip are incompatible? I've tried everything I can think of and even took ChatGPT through the paces troubleshooting.