Instructions to use lzphillipp/comfyui-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lzphillipp/comfyui-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("lzphillipp/comfyui-models", 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
- Xet hash:
- 080be486975ca8916a1a6fda9e763332b218dbc306ca993f2a029595919e72be
- Size of remote file:
- 67 MB
- SHA256:
- a5812231fc936b42af08a5edba784195495d303d5b3248c24489ef0c4021fe01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.