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_1.png from pcuenq/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 377 kB
-
https://huggingface.co/pcuenq/pokemon-lora/resolve/main/image_1.png
- Command line
-
hf download hf://pcuenq/pokemon-lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/pcuenq/pokemon-lora/resolve/main/image_1.png
377 kB

- Xet hash:
- bc984aa370f5792e303816f94cdebb20d28aa86557b570a0df8939505380a8b7
- Size of remote file:
- 377 kB
- SHA256:
- 19cd70835e3605dbd5256cc00c0568a3c63cd52065738eb489679611a24c1fd2
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