Instructions to use mingyi456/Anima-DF11-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use mingyi456/Anima-DF11-ComfyUI with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| license: other | |
| license_name: circlestone-labs-non-commercial-license | |
| license_link: https://huggingface.co/circlestone-labs/Anima/blob/main/LICENSE.md | |
| language: | |
| - en | |
| pipeline_tag: text-to-image | |
| tags: | |
| - comfyui | |
| - diffusion-single-file | |
| base_model: | |
| - circlestone-labs/Anima | |
| base_model_relation: quantized | |
| For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11 | |
| Feel free to request for other models for compression as well, although models whose architecture I am unfamiliar with might be slightly tricky for me. | |
| ### How to Use | |
| #### ComfyUI | |
| Install the ComfyUI DFloat11 Extended node via the ComfyUI manager. After installing, use the provided workflow [json](anima-preview-DF11-workflow.json), or simply replace the "Load Diffusion Model" node of an existing workflow with the "Load Diffusion Model" node. If you run into any issues, feel free to leave a comment. The workflow is also embedded in the below [png](anima-preview-DF11-workflow.png) image. | |
|  | |
| #### `diffusers` | |
| As far as I know, this model is not implemented in `diffusers` yet. | |
| ### Compression Details | |
| This is the `pattern_dict` for compressing Anima-based models in ComfyUI: | |
| ```python | |
| pattern_dict_comfyui = { | |
| r"t_embedder\.1" : ( | |
| "linear_1", | |
| "linear_2", | |
| ), | |
| r"blocks\.\d+" : ( | |
| "self_attn.q_proj", | |
| "self_attn.k_proj", | |
| "self_attn.v_proj", | |
| "self_attn.output_proj", | |
| "cross_attn.q_proj", | |
| "cross_attn.k_proj", | |
| "cross_attn.v_proj", | |
| "cross_attn.output_proj", | |
| "mlp.layer1", | |
| "mlp.layer2", | |
| "adaln_modulation_self_attn.1", | |
| "adaln_modulation_self_attn.2", | |
| "adaln_modulation_cross_attn.1", | |
| "adaln_modulation_cross_attn.2", | |
| "adaln_modulation_mlp.1", | |
| "adaln_modulation_mlp.2", | |
| ), | |
| r"llm_adapter\.embed": [], | |
| r"llm_adapter\.blocks\.\d+" : ( | |
| "self_attn.q_proj", | |
| "self_attn.k_proj", | |
| "self_attn.v_proj", | |
| "self_attn.o_proj", | |
| "cross_attn.q_proj", | |
| "cross_attn.k_proj", | |
| "cross_attn.v_proj", | |
| "cross_attn.o_proj", | |
| "mlp.0", | |
| "mlp.2", | |
| ), | |
| }, | |
| ``` |