Text-to-Video
Safetensors
MLX
Wan2.2
mlx-gen
mflux
apple-silicon
8-bit precision
wan
video-generation
image-to-video
Instructions to use AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-ti2v-5b-diffusers-8bit AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit
- Wan2.2
How to use AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit with Wan2.2:
# 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
- Local Apps Settings
- LM Studio
| { | |
| "_class_name": "UniPCMultistepScheduler", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "beta_end": 0.02, | |
| "beta_schedule": "linear", | |
| "beta_start": 0.0001, | |
| "disable_corrector": [], | |
| "dynamic_thresholding_ratio": 0.995, | |
| "final_sigmas_type": "zero", | |
| "flow_shift": 5.0, | |
| "lower_order_final": true, | |
| "num_train_timesteps": 1000, | |
| "predict_x0": true, | |
| "prediction_type": "flow_prediction", | |
| "rescale_betas_zero_snr": false, | |
| "sample_max_value": 1.0, | |
| "solver_order": 2, | |
| "solver_p": null, | |
| "solver_type": "bh2", | |
| "steps_offset": 0, | |
| "thresholding": false, | |
| "time_shift_type": "exponential", | |
| "timestep_spacing": "linspace", | |
| "trained_betas": null, | |
| "use_beta_sigmas": false, | |
| "use_dynamic_shifting": false, | |
| "use_exponential_sigmas": false, | |
| "use_flow_sigmas": true, | |
| "use_karras_sigmas": false | |
| } | |