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_1.png from lucataco/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 378 kB
-
https://huggingface.co/lucataco/pokemon-lora/resolve/main/image_1.png
- Command line
-
hf download hf://lucataco/pokemon-lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/lucataco/pokemon-lora/resolve/main/image_1.png
378 kB

- Xet hash:
- 53def8f1a56ad1388f4c09a15aabcd7d73bd9770fe88ac9acf3a5b429cb864ac
- Size of remote file:
- 378 kB
- SHA256:
- 1e8e760656b92b9d48996e808f16716f28ffae1e420b8bd391da2b60e0a2ec85
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