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_kolors_fp16_simpleai_0909.zip from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 15.4 GB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_kolors_fp16_simpleai_0909.zip
- Command line
-
hf download hf://metercai/SimpleSDXL2/models_kolors_fp16_simpleai_0909.zip
-
curl -L -o models_kolors_fp16_simpleai_0909.zip https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_kolors_fp16_simpleai_0909.zip
15.4 GB
- Xet hash:
- 4b0a595c25e82f67d12722ac1918d995be4ed95f08d2123d01a4f4b1d63c4273
- Size of remote file:
- 15.4 GB
- SHA256:
- 7f5c652e5e603e2ca8f5584f2dd9626e9e6a7ac06a0ce0a64bdaf31a023e71b3
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