Instructions to use ZavGeorge/pokemon_diffusion_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZavGeorge/pokemon_diffusion_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZavGeorge/pokemon_diffusion_v1", 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
Download unet/diffusion_pytorch_model.bin from ZavGeorge/pokemon_diffusion_v1: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/ZavGeorge/pokemon_diffusion_v1/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ZavGeorge/pokemon_diffusion_v1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ZavGeorge/pokemon_diffusion_v1/resolve/main/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 8fd7dd761b9b0003589f9d21334a5e92c81d0e6e5d32a37fd70339c958916316
- Size of remote file:
- 455 MB
- SHA256:
- f1f1633754f84035293ccbfd24c795859885a2a96cb77ff05d2fa81d0d48e209
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