Instructions to use DveloperY0115/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DveloperY0115/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("DveloperY0115/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:
- ee54171956d4d61555a1e95c20aa90b346f857babf266189765fa7678c2df8dd
- Size of remote file:
- 559 Bytes
- SHA256:
- 8ce850adabaa3a70e6126f23da10d4424afae2dc445ae2ec00a7a4b33ad7673a
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