Instructions to use pcuenq/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pcuenq/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("pcuenq/pokemon-lora", dtype=torch.bfloat16, device_map="cuda") 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_2.png from pcuenq/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 360 kB
-
https://huggingface.co/pcuenq/pokemon-lora/resolve/main/image_2.png
- Command line
-
hf download hf://pcuenq/pokemon-lora/image_2.png
-
curl -L -o image_2.png https://huggingface.co/pcuenq/pokemon-lora/resolve/main/image_2.png
360 kB

- Xet hash:
- d24704fc7c8ab00b7b17adf5025a33799151809b3ed248a4594dad90ac24c180
- Size of remote file:
- 360 kB
- SHA256:
- 8d8bb85bffad748dcaf61d17cde2f00594a51797a216cc403d5e368f3d950478
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