Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use simonschoe/pokeball-machine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use simonschoe/pokeball-machine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("simonschoe/pokeball-machine", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a pkblz ball in the middle of a miniature jungle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 29f53892213c3761e5f93e89fa649a7b011f39fce2c15a3286259a642e70b51e
- Size of remote file:
- 3.44 GB
- SHA256:
- 85d7291c44af3a4c153f48e1eb5c9b49e16b9182d2bfe629d75bff88c0185273
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