Instructions to use lucataco/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucataco/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("lucataco/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
Download image_3.png from lucataco/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 383 kB
-
https://huggingface.co/lucataco/pokemon-lora/resolve/main/image_3.png
- Command line
-
hf download hf://lucataco/pokemon-lora/image_3.png
-
curl -L -o image_3.png https://huggingface.co/lucataco/pokemon-lora/resolve/main/image_3.png
383 kB

- Xet hash:
- d39119cab8983ca356344af764db7d9f86c101d0598cc9c8aaf9f8758fe81ad5
- Size of remote file:
- 383 kB
- SHA256:
- 9ebbebc08a9c5287542566702e4f1dfd1782b893957b4f98b34112ff5d3869ad
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