Instructions to use Muapi/ayame_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/ayame_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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/ayame_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 78a74f2387bd4f1cb7d50cc1ffc437d63f9f6518f5d96a2d66fbb7270b30ca5a
- Size of remote file:
- 596 kB
- SHA256:
- 9f2c379c1a8c334232933684f135de49d40c393f5684fa42ea4eb80b70ac2822
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