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
File size: 728 Bytes
d0b43ec | 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 | {
"in_channels": 16,
"out_channels": 16,
"num_attention_heads": 24,
"attention_head_dim": 128,
"num_layers": 20,
"num_single_layers": 40,
"num_refiner_layers": 2,
"mlp_ratio": 4.0,
"patch_size": 2,
"patch_size_t": 1,
"qk_norm": "rms_norm",
"guidance_embeds": true,
"text_embed_dim": 4096,
"pooled_projection_dim": 768,
"rope_theta": 256.0,
"rope_axes_dim": [
16,
56,
56
],
"_class_name": "HunyuanVideoTransformer3DModel",
"_diffusers_version": "0.32.0.dev0",
"_name_or_path": "/m2v_intern2/zhenglin/paper_assets/hf_cache/hub/models--hunyuanvideo-community--HunyuanVideo/snapshots/e8c2aaa66fe3742a32c11a6766aecbf07c56e773"
}
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