Instructions to use moonde/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moonde/lora-trained-xl 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("moonde/lora-trained-xl") prompt = "a front view of rsr woman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b2f87555a2a2c32452e289b0fbc0d44f56c720a18b96f7bb7f4843f8d4f99e4f
- Size of remote file:
- 47.4 MB
- SHA256:
- e0be7281d1178e610ba72dd3d61dc2f4a6a41bf44b3fba9c277f2da59ca714b0
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