Instructions to use metercai/SimpleSDXL2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use metercai/SimpleSDXL2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("metercai/SimpleSDXL2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download SimpleModels/controlnet/detection_Resnet50_Final.pth from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 109 MB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F6/SimpleModels/controlnet/detection_Resnet50_Final.pth
- Command line
-
hf download hf://metercai/SimpleSDXL2@refs/pr/6/SimpleModels/controlnet/detection_Resnet50_Final.pth
-
curl -L -o detection_Resnet50_Final.pth https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F6/SimpleModels/controlnet/detection_Resnet50_Final.pth
109 MB
- Xet hash:
- 76c8a1be37248c6bf2067f2fcd8e2cfd5e18b1704c0fdc5e83235d42136d778c
- Size of remote file:
- 109 MB
- SHA256:
- 6d1de9c2944f2ccddca5f5e010ea5ae64a39845a86311af6fdf30841b0a5a16d
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