Instructions to use climba/pokemon-e255 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use climba/pokemon-e255 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("climba/pokemon-e255", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4a41e551543234c7be9f6e8f3c85086dfe8db0fd5206188b606a79398d80e94e
- Size of remote file:
- 3.44 GB
- SHA256:
- 2a51f3235203f0219ca230a56d44f68956d396d82d9eb0c24c581eb84f85a431
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