Instructions to use RubenAMtz/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RubenAMtz/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("RubenAMtz/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:
- fde3d1d736e0a467b403292b601986e02d18d748b1d6d4d927427a2173a58356
- Size of remote file:
- 6.59 MB
- SHA256:
- 98a1dc70dead0372c8d1e257b246af31a08ba872237fad5b8c8100985629d831
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