Instructions to use Manish2649/sdxl-lora-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Manish2649/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("Manish2649/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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 42ae12dad0c8593b5c88b6328fcb11a274d4c70386a00f39c7f934aaf0013110
- Size of remote file:
- 60.3 MB
- SHA256:
- 5e0955be50bf1e782a8b873dee124b33fe9d1c66cd30a88b703c7228adbda46d
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