Instructions to use Skirrey/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Skirrey/pokemon-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Skirrey/pokemon-lora") 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:
- f553aaa69070b3db59eaea10ebb0058c50951396c8d545d3d6cdde2179d88c20
- Size of remote file:
- 6.59 MB
- SHA256:
- 8f199c17d93bcceaf029cd461146fafaf3f816ac1427d0fb992741f3c4b44db3
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