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/upscale_models/4x-UltraSharp.pth from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 67 MB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F4/SimpleModels/upscale_models/4x-UltraSharp.pth
- Command line
-
hf download hf://metercai/SimpleSDXL2@refs/pr/4/SimpleModels/upscale_models/4x-UltraSharp.pth
-
curl -L -o 4x-UltraSharp.pth https://huggingface.co/metercai/SimpleSDXL2/resolve/refs%2Fpr%2F4/SimpleModels/upscale_models/4x-UltraSharp.pth
67 MB
- Xet hash:
- 080be486975ca8916a1a6fda9e763332b218dbc306ca993f2a029595919e72be
- Size of remote file:
- 67 MB
- SHA256:
- a5812231fc936b42af08a5edba784195495d303d5b3248c24489ef0c4021fe01
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