Instructions to use lightx2v/Hy1.5-Distill-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Hy1.5-Distill-Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightx2v/Hy1.5-Distill-Models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use lightx2v/Hy1.5-Distill-Models with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
does it support comfyui?
#1
by t8star - opened
I try it,but it seemly don't support comfyui
same
These work with Comfy (those that have comfyui in the filename)
https://huggingface.co/lightx2v/Hy1.5-Quantized-Models/tree/main
As well as these:
https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/tree/main/split_files
Where you can also find the 4step 480p t2v as a lora
