Instructions to use root1101/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use root1101/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("root1101/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:
- 401d151c752b5a6c261eeca6a0bc493ad68e4935a700546320d275dfd7a03ed9
- Size of remote file:
- 6.59 MB
- SHA256:
- d069f45d998bce18e4ff40dd847453ee988e42ee3dac9f9aaa4fd316e0d9a2d5
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