Instructions to use Hera111/sdxl-lora-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hera111/sdxl-lora-testing 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("Hera111/sdxl-lora-testing") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 37ccc4805cb802ca32dcb87d97e8484fcd1a165f582210d86fbad4dd37c274fd
- Size of remote file:
- 1.08 MB
- SHA256:
- d14b0ffc767c2d3aef013c6406b37e1f1cbd465beb53538ec883fd583835243d
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