Instructions to use thingthatis/lcm-lora-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thingthatis/lcm-lora-sdxl 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("thingthatis/lcm-lora-sdxl") 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:
- 74f8f3f00341adfa04849bb166e18bb230e81b36b3ae8d3438749721b1b279b5
- Size of remote file:
- 1.73 MB
- SHA256:
- 23f42605e848334d433996c92a5baa12280b18730e56455f58f85d8f2f28f160
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