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/vae_approx/vaeapp_sd15.pth from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 214 kB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F5/SimpleModels/vae_approx/vaeapp_sd15.pth
- Command line
-
hf download hf://metercai/SimpleSDXL2@refs/pr/5/SimpleModels/vae_approx/vaeapp_sd15.pth
-
curl -L -o vaeapp_sd15.pth https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F5/SimpleModels/vae_approx/vaeapp_sd15.pth
214 kB
- Xet hash:
- f0d287e9abfb69a19f56382820dc83b9f36a49f97e48db26fbcdd33bad8e44c9
- Size of remote file:
- 214 kB
- SHA256:
- 4f88c9078bb2238cdd0d8864671dd33e3f42e091e41f08903f3c15e4a54a9b39
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