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 models_cogflorence_2.2_large_simpai_0214.zip from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 1.52 GB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_cogflorence_2.2_large_simpai_0214.zip
- Command line
-
hf download hf://metercai/SimpleSDXL2/models_cogflorence_2.2_large_simpai_0214.zip
-
curl -L -o models_cogflorence_2.2_large_simpai_0214.zip https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_cogflorence_2.2_large_simpai_0214.zip
1.52 GB
- Xet hash:
- 279166551c906df6798da38574ace07ac2c8f6b680f1ceb68993ba1fd72a3f94
- Size of remote file:
- 1.52 GB
- SHA256:
- f2a6a3432502273e7b53f5da140bc7833a3814944733a715e225c79055252044
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