Instructions to use Muapi/lcm-lora-weights-stable-diffusion-acceleration-module with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/lcm-lora-weights-stable-diffusion-acceleration-module 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/lcm-lora-weights-stable-diffusion-acceleration-module") 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:
- 858b7de2e0a58ca2e8235129342dac934d9bccef5cca8dfb4b17b6322cf2fbcb
- Size of remote file:
- 2.67 MB
- SHA256:
- bbe4cb2ceeb8a8303a7a1c14adc4ac715b91184311437071e71632bde01c2d8b
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