Instructions to use AIYangXiao/SDXL_FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIYangXiao/SDXL_FT 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("AIYangXiao/SDXL_FT") 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
Download image_3.png from AIYangXiao/SDXL_FT: direct link, hf CLI and curl.
- Browser
- Download file 1.58 MB
-
https://huggingface.co/AIYangXiao/SDXL_FT/resolve/main/image_3.png
- Command line
-
hf download hf://AIYangXiao/SDXL_FT/image_3.png
-
curl -L -o image_3.png https://huggingface.co/AIYangXiao/SDXL_FT/resolve/main/image_3.png
1.58 MB

- Xet hash:
- ff9df121b723500d7892815ec0b43d6b16cc891374b5bf8ebd6f121fdf7d3eec
- Size of remote file:
- 1.58 MB
- SHA256:
- d4b7083bfc7323e918408d8f04d47cfa86b5c74a23882d90238c9d6156e8b327
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