Instructions to use mwkldeveloper/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mwkldeveloper/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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mwkldeveloper/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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c48d21a0b471bb5b70821456d2830c53618231f9af23ca5928ab3ada41156a56
- Size of remote file:
- 6.59 MB
- SHA256:
- b7e379c76115d0389a9fe602f22e2fb1e77315d1207fca96cf60d7a3bc5756da
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