Instructions to use Muapi/semiconductor-style-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/semiconductor-style-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("Muapi/semiconductor-style-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:
- 108b8593e55b45ce1f381e6f5d002c9056c15abbc62d2136dfc264f780cd0cf8
- Size of remote file:
- 250 kB
- SHA256:
- c62838fb99187fbf2a6dee818d63a4428d8238634bb225f685afbd19e3cac378
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