Instructions to use Jacklu0831/procreate-diffusion-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jacklu0831/procreate-diffusion-pokemon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jacklu0831/procreate-diffusion-pokemon", 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:
- beae028eea72ecbe504ee9208268650307d5f543fc8aa6050a257f555706390d
- Size of remote file:
- 3.44 GB
- SHA256:
- dcb677724403acf2629b45fc3c022c260f6603dc70ce6ed2706799a57e34c099
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