Instructions to use vanzl/DiffusionART-HunyuanVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vanzl/DiffusionART-HunyuanVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vanzl/DiffusionART-HunyuanVideo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Add verified release.json
Browse files- release.json +166 -0
release.json
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}
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"training_objective": {
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"feedback": "fixed-normalized TA/VQ/MQ",
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"method": "masked scalar DiffusionART",
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| 147 |
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"reference_mse_beta": 0.1,
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| 148 |
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"reference_regularizer": "pretrained_velocity_mse",
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| 149 |
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"reward_weights": {
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"MQ": 0.1,
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| 151 |
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"TA": 0.7,
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"VQ": 0.2
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}
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},
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"training_target_optimizer_steps": 100,
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"upstream_license": {
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| 157 |
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"files": [
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| 158 |
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"LICENSE.txt",
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| 159 |
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"Notice"
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| 160 |
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],
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| 161 |
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"name": "Tencent Hunyuan Community License Agreement",
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| 162 |
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"repository": "tencent/HunyuanVideo",
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| 163 |
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"revision": "6204ad6aea1a77ff5aba337c88278bb9500eb37"
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| 164 |
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},
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"visibility": "private"
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}
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