Instructions to use KunCheng/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KunCheng/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("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KunCheng/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
- Xet hash:
- fc61e2abc855a899d3076b4479d8085e6ff02b5e85c961bd7fe9cac213dfc511
- Size of remote file:
- 6.85 MB
- SHA256:
- 10f09374fda06dd5dbea3a6b2338b0a4cafbcba65fff328953ba7626663b278c
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