Instructions to use nvidia/Cosmos3-Super-Text2Image-4Step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Super-Text2Image-4Step 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
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.39.0", | |
| "base_image_seq_len": 256, | |
| "base_shift": 0.5, | |
| "fixed_step_requires_explicit_sigmas": true, | |
| "fixed_step_sampler_config": { | |
| "sample_type": "sde", | |
| "t_list": [ | |
| 1.0, | |
| 0.9375, | |
| 0.8333333333333334, | |
| 0.625 | |
| ] | |
| }, | |
| "invert_sigmas": false, | |
| "max_image_seq_len": 4096, | |
| "max_shift": 1.15, | |
| "num_train_timesteps": 1000, | |
| "shift": 1.0, | |
| "shift_terminal": null, | |
| "stochastic_sampling": true, | |
| "time_shift_type": "exponential", | |
| "use_beta_sigmas": false, | |
| "use_dynamic_shifting": false, | |
| "use_exponential_sigmas": false, | |
| "use_karras_sigmas": false | |
| } | |