Fal.ai

Capture user photo via mobile app.

Send image and garment LoRA to Fal.ai endpoint.

Apply ControlNet for pose preservation.

Inference returns image in <500ms.

Display result to user in the interactive UI.

Input product description into Fal's text-to-image API.

Pass the generated image to the Stable Video Diffusion endpoint.

Apply audio narration using Fal's TTS model.

Concatenate media into a finalized mp4 via Fal pipeline.

Upload to ad manager via webhook.

Fine-tune a model on the game's art style using Fal's training API.

Provide text prompts for new assets.

Batch generate 100 variations using the fine-tuned LoRA.

Apply background removal via Fal utility model.

Download transparent PNGs for the game engine.

Open a WebSocket connection between the frontend and Fal.

Stream canvas state as low-res base64 images.

Use LCM (Latent Consistency Model) for ultra-fast inference.

Stream back generated frames at 10-15 FPS.

Overlay AI output on the artist's brush strokes.

Upload a hand-drawn building sketch.

Use Canny ControlNet on Fal to maintain structural edges.

Input material prompts (e.g., 'glass façade', 'brutalist concrete').

Generate high-resolution 4k render.

Use Fal upscaler to enhance texture details.

Upload audio clip to Fal.

Generate relevant thematic imagery based on audio transcript.

Animate imagery using Fal's SVD model.

Sync animation with audio timestamps.

Export vertical video for TikTok/Shorts.

Set up a Fal Enterprise Private Model instance.

Restrict access to internal IP addresses via Fal dashboard.

Connect internal DAM (Digital Asset Management) to the API.

Run inference on local assets without data leaving the private cluster.

Audit usage logs for compliance reporting.