Any chance you have before/after screenshots? My understanding is that Anima cannot actually support prompt weighting (in the traditional sense).

It does support limited prompt weighting of the form tag:weight eg: blue:1.2 but it is strictly a prompting/training concept and not actually a special function of the model.

I'd be curious to see a comparison of your feature on vs off, with the prompt weighting format described on the model page:

https://huggingface.co/circlestone-labs/Anima

Prompt weighting works, but needs a weight higher than typically used for SDXL. Example: "(chibi:2)"

Any chance you have before/after screenshots? My understanding is that Anima cannot actually support prompt weighting (in the traditional sense).

It does support limited prompt weighting of the form tag:weight eg: blue:1.2 but it is strictly a prompting/training concept and not actually a special function of the model.

I'd be curious to see a comparison of your feature on vs off, with the prompt weighting format described on the model page:

https://huggingface.co/circlestone-labs/Anima

Prompt weighting works, but needs a weight higher than typically used for SDXL. Example: "(chibi:2)"

Sure, here's a quick comparison. Long hair tag is amplified while the chibi tag is toned down. Without the fix the tag with weights often gets ignored entirely. You can check it out yourself.

My understanding is that Anima cannot actually support prompt weighting (in the traditional sense).

The Anima author explicitly confirmed that this is real inference-time prompt weighting, not merely a training/prompting convention. In ComfyUI the weights are applied by scaling the text-conditioning vectors produced by Qwen3 + the LLM adapter before they are fed into the diffusion model.

Author comment:
https://huggingface.co/circlestone-labs/Anima/discussions/135

And the implementation is visible here:
https://github.com/Comfy-Org/ComfyUI/blob/master/comfy/text_encoders/anima.py
https://github.com/Comfy-Org/ComfyUI/blob/master/comfy/ldm/anima/model.py

@lstein is there a chance this can be merged in the next minor/patch release?

For now I'm relying on just manually patching the app files every new release.