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
File size: 820 Bytes
0627bf7 | 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 | {
"_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
}
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