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
Download transformer/config.json from vanzl/DiffusionART-HunyuanVideo: direct link, hf CLI and curl.
- Browser
- Download file 728 Bytes
-
https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/transformer/config.json
- Command line
-
hf download hf://vanzl/DiffusionART-HunyuanVideo/transformer/config.json
-
curl -L -o config.json https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/transformer/config.json
728 Bytes
| { | |
| "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" | |
| } | |