Instructions to use FastVideo/FastHunyuan-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastHunyuan-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/FastHunyuan-diffusers", 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: 563 Bytes
7e948fc | 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 28 29 30 31 32 33 | {
"_class_name": "HunyuanVideoPipeline",
"_diffusers_version": "0.32.0.dev0",
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"text_encoder": [
"transformers",
"LlamaModel"
],
"text_encoder_2": [
"transformers",
"CLIPTextModel"
],
"tokenizer": [
"transformers",
"LlamaTokenizerFast"
],
"tokenizer_2": [
"transformers",
"CLIPTokenizer"
],
"transformer": [
"diffusers",
"HunyuanVideoTransformer3DModel"
],
"vae": [
"diffusers",
"AutoencoderKLHunyuanVideo"
]
}
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