Instructions to use AltLuv/pokemon-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AltLuv/pokemon-testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AltLuv/pokemon-testing", 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:
- 55d229889fa628f42eec9c472a73dd3b7aee3e7451b9d92eff54a09e4f896dcb
- Size of remote file:
- 136 Bytes
- SHA256:
- 8d263ef537c82ddadac98389f9001afbb35890e2909cf951d39af5ab87d93ad9
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