Instructions to use hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_i2v with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_i2v", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "HunyuanVideo15Transformer3DModel", | |
| "_diffusers_version": "0.36.0.dev0", | |
| "attention_head_dim": 128, | |
| "image_embed_dim": 1152, | |
| "in_channels": 65, | |
| "mlp_ratio": 4.0, | |
| "num_attention_heads": 16, | |
| "num_layers": 54, | |
| "num_refiner_layers": 2, | |
| "out_channels": 32, | |
| "patch_size": 1, | |
| "patch_size_t": 1, | |
| "qk_norm": "rms_norm", | |
| "rope_axes_dim": [ | |
| 16, | |
| 56, | |
| 56 | |
| ], | |
| "rope_theta": 256.0, | |
| "target_size": 960, | |
| "task_type": "i2v", | |
| "text_embed_2_dim": 1472, | |
| "text_embed_dim": 3584, | |
| "use_meanflow": false | |
| } | |