Instructions to use DveloperY0115/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DveloperY0115/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("DveloperY0115/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:
- e3bbedf47a03d83a03a8031f36e6803029b2f809fad1cf82f54925bf5650733f
- Size of remote file:
- 6.53 MB
- SHA256:
- 652797c01f09520c0444ba144230e67601f58b1838b4b7dcf2a51024f17bed63
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