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/pytorch_model.bin from cosmin/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/cosmin/pokemon-lora/resolve/main/checkpoint-4000/pytorch_model.bin
- Command line
-
hf download hf://cosmin/pokemon-lora/checkpoint-4000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cosmin/pokemon-lora/resolve/main/checkpoint-4000/pytorch_model.bin
3.28 MB
- Xet hash:
- 9c1428b1f66737399825b24636af26a8e68c0571d7ec611ff0bcc6bbe18de9ef
- Size of remote file:
- 3.28 MB
- SHA256:
- eb8a6300a2fdf31e52abb730e57f79cf2ddd2031ae50771c85302793fcc54ae8
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