Instructions to use justinpinkney/pokemon-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use justinpinkney/pokemon-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("justinpinkney/pokemon-stable-diffusion", 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 text_encoder/pytorch_model.bin from justinpinkney/pokemon-stable-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/justinpinkney/pokemon-stable-diffusion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://justinpinkney/pokemon-stable-diffusion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/justinpinkney/pokemon-stable-diffusion/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 541b80ba1f6202e0c615ee2a999d72e27eda774094cf2f80b3a9debfd1d529db
- Size of remote file:
- 492 MB
- SHA256:
- 98124f3d5663b2f14ff08d4c29db93800622b4fcfa3d952bb6f9112f5d6dadd7
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