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_flux_aio_simpleai_1214.zip from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 41.2 GB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_flux_aio_simpleai_1214.zip
- Command line
-
hf download hf://metercai/SimpleSDXL2/models_flux_aio_simpleai_1214.zip
-
curl -L -o models_flux_aio_simpleai_1214.zip https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_flux_aio_simpleai_1214.zip
41.2 GB
- Xet hash:
- 2b92bc63b806ce5f7e590999980b7a0e9f1a6f336f165078ad8a1b7ebcc338cd
- Size of remote file:
- 41.2 GB
- SHA256:
- 444ebfad23332cfd9ffaca1655a6a38c4e1459ba7bff10eefb5c248dce112fb3
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