Instructions to use hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v_distilled 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-480p_t2v_distilled with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v_distilled", 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: 550 Bytes
b821cde | 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 | {
"_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": 640,
"task_type": "t2v",
"text_embed_2_dim": 1472,
"text_embed_dim": 3584,
"use_meanflow": false
}
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