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/inpaint/inpaint_v26.fooocus.patch from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 1.32 GB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F5/SimpleModels/inpaint/inpaint_v26.fooocus.patch
- Command line
-
hf download hf://metercai/SimpleSDXL2@refs/pr/5/SimpleModels/inpaint/inpaint_v26.fooocus.patch
-
curl -L -o inpaint_v26.fooocus.patch https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F5/SimpleModels/inpaint/inpaint_v26.fooocus.patch
1.32 GB
- Xet hash:
- b2fbf3511bd015d3428ff1d9240cff8b39779f16f6d37d735b931d19f0449171
- Size of remote file:
- 1.32 GB
- SHA256:
- f8657a025104e22d70f9c060635d8e8c2196f433871a2f68dc40abd2171f0d59
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