Instructions to use bhsu/sd-pokemon-model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bhsu/sd-pokemon-model-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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bhsu/sd-pokemon-model-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:
- 27360166f97ab4d6d4e0f042715635358c8930fea37362f5ee8b7a217fd77fd1
- Size of remote file:
- 3.29 MB
- SHA256:
- f1aadb10069dc2a45f184002cfe6cccf190fa8e200a2b06d4fba9469b5f63825
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