Instructions to use nvidia/Cosmos3-Nano-Sim-Auto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Nano-Sim-Auto with Cosmos:
# 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
File size: 1,624 Bytes
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"_blocks_class_name": "Cosmos3DistilledBlocks",
"_class_name": "Cosmos3NanoSimAutoPipeline",
"_cosmos3_nano_sim_auto": {
"checkpoint_hash": "1c13c34424f1a040f9a7b4a73c469059a4347b50de730e7a7b7bbe8657577b49",
"checkpoint_id": "sim_auto_joint_stage3_sfdmd_mads_all@iter_000001800",
"checkpoint_iteration": 1800,
"schema_version": 1
},
"_diffusers_version": "0.39.0",
"distilled_sigmas": [
1.0,
0.9375,
0.8333333333333334,
0.625
],
"is_distilled": true,
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler",
{
"pretrained_model_name_or_path": "diffusers_format2",
"subfolder": "scheduler",
"type_hint": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"variant": null
}
],
"text_tokenizer": [
"transformers",
"Qwen2TokenizerFast",
{
"pretrained_model_name_or_path": "diffusers_format2",
"subfolder": "text_tokenizer",
"type_hint": [
"transformers",
"Qwen2TokenizerFast"
],
"variant": null
}
],
"transformer": [
"diffusers",
"Cosmos3OmniTransformer",
{
"pretrained_model_name_or_path": "diffusers_format2",
"subfolder": "transformer",
"type_hint": [
"diffusers",
"Cosmos3OmniTransformer"
],
"variant": null
}
],
"vae": [
"diffusers",
"AutoencoderKLWan",
{
"pretrained_model_name_or_path": "diffusers_format2",
"subfolder": "vae",
"type_hint": [
"diffusers",
"AutoencoderKLWan"
],
"variant": null
}
]
}
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