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: 820 Bytes
c3fa137 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | {
"_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",
"default_use_system_prompt": true,
"enable_safety_checker": false,
"safety_checker": [
null,
null
],
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"sound_tokenizer": [
null,
null
],
"text_tokenizer": [
"transformers",
"Qwen2TokenizerFast"
],
"transformer": [
"diffusers",
"Cosmos3OmniTransformer"
],
"use_native_flow_schedule": false,
"vae": [
"diffusers",
"AutoencoderKLWan"
]
}
|