openclaw - 💡(How to fix) Fix feat: [Image Gen] Support full FAL.ai model catalog — expose all 1000+ models as selectable providers [1 participants]

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openclaw/openclaw#72833Fetched 2026-04-28 06:31:46
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Problem

The current fal image generation provider in OpenClaw only exposes 2 hardcoded models (flux/dev and flux/dev/image-to-image). FAL.ai has 1,094+ models including:

  • Text-to-image: FLUX.1 [schnell/dev/pro], Stable Diffusion, Imagen
  • Image-to-video: Kling v3, Seedance 2, Veo 3, Wan, Sora
  • Image-to-image: FLUX Kontext, Nano Banana 2, etc.
  • Video-to-video: effects, lip-sync, upscaling

Proposed Solution

Extend the fal provider plugin to dynamically discover and expose all available FAL models as selectable providers.

References


Requested by Andrea Sassi — OpenClaw power user

extent analysis

TL;DR

Extend the fal provider plugin to dynamically discover and expose all available FAL models using the FAL.ai API.

Guidance

  • Review the FAL.ai API documentation to understand how to fetch the list of available models.
  • Use the FAL model catalog as a reference to ensure all model types (e.g., text-to-image, image-to-video) are considered.
  • Implement a mechanism to dynamically update the list of available models in the fal provider plugin.
  • Consider adding input validation to ensure only supported models are selected by users.

Example

No code example is provided due to the lack of specific implementation details.

Notes

The proposed solution requires access to the FAL.ai API and may involve handling API rate limits, authentication, and error handling.

Recommendation

Apply workaround: Extend the fal provider plugin to dynamically discover and expose all available FAL models, as this approach allows for flexibility and scalability in supporting a large number of models.

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openclaw - 💡(How to fix) Fix feat: [Image Gen] Support full FAL.ai model catalog — expose all 1000+ models as selectable providers [1 participants]