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_flux1_fp16_simpleai_0909.zip from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 26.9 GB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_flux1_fp16_simpleai_0909.zip
- Command line
-
hf download hf://metercai/SimpleSDXL2/models_flux1_fp16_simpleai_0909.zip
-
curl -L -o models_flux1_fp16_simpleai_0909.zip https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_flux1_fp16_simpleai_0909.zip
26.9 GB
- Xet hash:
- 1468dfff1ddd81bf7eb650dee15238529bb245934ae3e7f0dd3f2805b1259885
- Size of remote file:
- 26.9 GB
- SHA256:
- 6620e8863a83209750858596ffeeb3e3df1a6d11f17b33759cbe5f6ebb01faf8
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