ModelPrésentéExterne

Chroma1 Radiance DF11

For more information (including how to compress models yourself), check out and

Sourcehuggingface.co/mingyi456/Chroma1-Radiance-DF11-ComfyUI/tree/9d27f11888fba71be94e6a5df5a19b2df4f02aff

TypeUNetModèle de baselodestones/Chroma1-RadianceVersionBClasse

Source du modèle

Type: UNet
Taille du fichier: 12,1 GB
Modèle de base: lodestones/Chroma1-Radiance
Version: vChroma1-Radiance-latest_x0-DF11-54840d542dd6242a8263fc684a57c64a195d6d9c870bc0375a7478a8b7098744
Mis à jour: 26 oct. 2026
Téléchargements: 345
Source: Hugging Face

Description de la source

Update: I just uploaded the latest x0 version. Because the file has no version number to distinguish it, I appended the SHA256 hash to the filename.

Note: The "expanded" version simply has some components (basically the extra tensors that are specific to Radiance) left uncompressed. Both versions give identical outputs, just that I find the non-expanded version to tank in speed with tiling enabled, which for some setups might not be worth the ~0.4GB size decrease.

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 compressing models that do not use the Flux architecture might be slightly tricky for me.

How to Use

ComfyUI

Install my own fork of the DF11 ComfyUI custom node: https://github.com/mingyi456/ComfyUI-DFloat11-Extended. After installing the DF11 custom node, use the provided workflow json, or simply replace the "Load Diffusion Model" node of an existing Chroma workflow with the "DFloat11 Model Loader" node. If you run into any issues, feel free to leave a comment. The workflow is also embedded in the below png image.

`diffusers`

As far as I know, this model architecture is currently not yet supported in diffusers.

Compression Details

This is the pattern_dict for compressing Chroma-based models in ComfyUI:

pattern_dict_comfyui = {
        r"distilled_guidance_layer\.layers\.\d+": (
            "in_layer",
            "out_layer"        
        ),
        r"double_blocks\.\d+": (
            "img_attn.qkv",
            "img_attn.proj",
            "img_mlp.0",
            "img_mlp.2",
            "txt_attn.qkv",
            "txt_attn.proj",
            "txt_mlp.0",
            "txt_mlp.2",
        ),
        r"single_blocks\.\d+": (
            "linear1",
            "linear2",
        ),
        r"nerf_blocks\.\d+": (
            "param_generator", 
        )
    }

Sources

1 source

Hugging FacePrincipalVersion 9d27f11888fba71be94e6a5df5a19b2df4f02aff

huggingface.co/mingyi456/Chroma1-Radiance-DF11-ComfyUI/tree/9d27f11888fba71be94e6a5df5a19b2df4f02aff

Vérifié 26 oct.

Artefacts du modèle

1 artefact

Chroma1-Radiance-latest_x0-DF11-54840d542dd6242a8263fc684a57c64a195d6d9c870bc0375a7478a8b7098744.safetensors

safetensors · 12,1 GB · SHA-256 88327bafa03c…26f3 · Hugging Face

Télécharger

Extraits de sources

3 extraits

Readme16 juil.huggingface.co/mingyi456/Chroma1-Radiance-DF11-ComfyUI

--- license: apache-2.0 language: - en pipeline_tag: text-to-image tags: - comfyui - diffusion-single-file base_model: - lodestones/Chroma1-Radiance base_model_relation: quantized --- #### Update: I just uploaded the latest x0 version. Because the file has no version number to distinguish it, I appended the SHA256 hash to the filename. # Note: The "expanded" version simply has some components (basically the extra tensors that are specific to Radiance) left uncompressed. Both versions give *identical outputs*, just that I find the non-expanded version to tank in speed with tiling enabled, which for some setups might not be worth the ~0.4GB size decrease. 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 compressing models that do not use the Flux architecture might be slightly tricky for me. ### How to Use #### ComfyUI Install my own fork of the DF11 ComfyUI custom node: https://github.com/mingyi456/ComfyUI-DFloat11-Extended. After installing the DF11 custom node, use the provided workflow [json](Chroma1-Radiance-DF11-workflow.json), or simply replace the "Load Diffusion Model" node of an existing Chroma workflow with the "DFloat11 Model Loader" node. If you run into any issues, feel free to leave a comment. The workflow is also embedded in the below [png](Chroma1-Radiance-DF11-workflow.png) image. ![](Chroma1-Radiance-DF11-workflow.png) #### `diffusers` As far as I know, this model architecture is currently not yet supported in `diffusers`. ### Compression Details This is the `pattern_dict` for compressing Chroma-based models in ComfyUI: ```python pattern_dict_comfyui = { r"distilled_guidance_layer\.layers\.\d+": ( "in_layer", "out_layer" ), r"double_blocks\.\d+": ( "img_attn.qkv", "img_attn.proj", "img_mlp.0", "img_mlp.2", "txt_attn.qkv", "txt_attn.proj", "txt_mlp.0", "txt_mlp.2", ), r"single_blocks\.\d+": ( "linear1", "linear2", ), r"nerf_blocks\.\d+": ( "param_generator", ) } ```

Note26 oct.huggingface.co/mingyi456/Chroma1-Radiance-DF11-ComfyUI

Source context: 345 downloads · 3 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Chroma1-Radiance-DF11-ComfyUI

Note8 aoûthuggingface.co/mingyi456/Chroma1-Radiance-DF11-ComfyUI

Source context: 223 downloads · 3 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Chroma1-Radiance-DF11-ComfyUI