Instructions to use cosmin/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cosmin/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("cosmin/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 checkpoint-4000/optimizer.bin from cosmin/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/cosmin/pokemon-lora/resolve/main/checkpoint-4000/optimizer.bin
- Command line
-
hf download hf://cosmin/pokemon-lora/checkpoint-4000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/cosmin/pokemon-lora/resolve/main/checkpoint-4000/optimizer.bin
6.59 MB
- Xet hash:
- 43cff540f8e29be2ca205b87d2321ed1deb808c85753603c52c6cad3019b2c71
- Size of remote file:
- 6.59 MB
- SHA256:
- 97cf72989110f13d90f536a3fb6104872b2e862f81d0128cad5cdfb95380f2e6
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