Instructions to use schdoel/sd-class-Pokemon-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schdoel/sd-class-Pokemon-32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("schdoel/sd-class-Pokemon-32", 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:
- ecf2d2d83936fbd0c10d7c92fc80bab478f64a33c6f88f32147ebda06526869e
- Size of remote file:
- 74.3 MB
- SHA256:
- 65cd088e9c523b9d0b11e95ae5714ae8a98cea7a9e73f7bd664362f8606eff30
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