Instructions to use sdfhg5243/pepe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sdfhg5243/pepe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdfhg5243/pepe", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.bin from sdfhg5243/pepe: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/sdfhg5243/pepe/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://sdfhg5243/pepe/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/sdfhg5243/pepe/resolve/main/diffusion_pytorch_model.bin
1.29 GB
- Xet hash:
- c077e8e2d603871633f543b63bd89fc255709e956c1265daa539e56d8185575f
- Size of remote file:
- 1.29 GB
- SHA256:
- b867e07d851b9ec7734a01c2744fdd57eff693bfbc9e44b39111c90bd3299e14
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