Cosmos Predict2 14B Text2Image DF11
nvidia-open-model-license
Fuente del modelo
- Tipo
- Modelo
- Tamaño del archivo
- 18,5 GB
- Modelo base
- nvidia/Cosmos-Predict2-14B-Text2Image
- Versión
- vRevision 7068357
- Actualizado
- 2 oct 2026
- Descargas
- 20
- Fuente
- Hugging Face
Descripción de la fuente
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 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 Kontext 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
Refer to this model instead.
Compression Details
This is the pattern_dict for compression:
pattern_dict_comfyui = {
"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",
)
}
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 2 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactocosmos_predict2_14B_t2i-DF11.safetensors
safetensors · 18,5 GB · SHA-256 319eef2699e0…845b · Hugging Face
DescargarExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: other license_name: nvidia-open-model-license license_link: >- https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license language: - en pipeline_tag: text-to-image tags: - comfyui - diffusion-single-file base_model: - nvidia/Cosmos-Predict2-14B-Text2Image 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 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](cosmos_predict2_14B_t2i-DF11-workflow.json), or simply replace the "Load Diffusion Model" node of an existing Kontext 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](cosmos_predict2_14B_t2i-DF11-workflow.png) image.  #### `diffusers` Refer to this [model](https://huggingface.co/mingyi456/Cosmos-Predict2-14B-Text2Image-DF11) instead. ### Compression Details This is the `pattern_dict` for compression: ```python pattern_dict_comfyui = { "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", ) } ```
Source context: 20 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Cosmos-Predict2-14B-Text2Image-DF11-ComfyUI
Source context: 13 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Cosmos-Predict2-14B-Text2Image-DF11-ComfyUI
