Instructions to use root1101/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use root1101/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("root1101/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
- Draw Things
- DiffusionBee
- Xet hash:
- acbe25dd5ee25f26d3e79b090f39d02a978d7a51bfce227a72b659968978b507
- Size of remote file:
- 6.59 MB
- SHA256:
- 37a733c19cce10cc579af3bc9c6bb2d1e5088a2302a0fd410b5158bd037cd836
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