Instructions to use nvidia/Cosmos3-Nano-Sim-Transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Nano-Sim-Transfer 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: 2,290 Bytes
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"_blocks_class_name": "Cosmos3DistilledBlocks",
"_class_name": "Cosmos3NanoSimTransferPipeline",
"_cosmos3_nano_sim_bimanual": {
"attention_mode": "three_way",
"base_fps": 24,
"checkpoint_hash": "06e78ab5bbb81b7ad92842c359c3b9e3e64000dc43574ed6180cfc0dee701f0a",
"checkpoint_id": "causal_8b_sf_dmd_transfer_480p_direct_resize_caption_mix_from_stage2_iter2250@iter_000001500",
"checkpoint_iteration": 1500,
"chunk_size": 1,
"enable_fps_modulation": true,
"fixed_step_sampler_config": {
"num_train_timesteps": 1000,
"sample_type": "sde",
"t_list": [
1.0,
0.9375,
0.8333333333333334,
0.625
]
},
"latent_patch_size": 2,
"schema_version": 1,
"sink_frames": 1,
"temporal_compression_factor": 4,
"temporal_modality_margin": 15000,
"text_cache_max_len": 512,
"unified_3d_mrope_reset_spatial_ids": true,
"vae_spatial_compression_factor": 16,
"video_temporal_causal": true,
"window_frames": 51
},
"_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_format",
"subfolder": "scheduler",
"type_hint": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"variant": null
}
],
"text_tokenizer": [
"transformers",
"Qwen2TokenizerFast",
{
"pretrained_model_name_or_path": "diffusers_format",
"subfolder": "text_tokenizer",
"type_hint": [
"transformers",
"Qwen2TokenizerFast"
],
"variant": null
}
],
"transformer": [
"diffusers",
"Cosmos3OmniTransformer",
{
"pretrained_model_name_or_path": "diffusers_format",
"subfolder": "transformer",
"type_hint": [
"diffusers",
"Cosmos3OmniTransformer"
],
"variant": null
}
],
"vae": [
"diffusers",
"AutoencoderKLWan",
{
"pretrained_model_name_or_path": "diffusers_format",
"subfolder": "vae",
"type_hint": [
"diffusers",
"AutoencoderKLWan"
],
"variant": null
}
]
}
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