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_aio_simpleai_1214.zip from metercai/SimpleSDXL2: direct link, hf CLI and curl.
- Browser
- Download file 32.8 GB
-
https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_kolors_aio_simpleai_1214.zip
- Command line
-
hf download hf://metercai/SimpleSDXL2/models_kolors_aio_simpleai_1214.zip
-
curl -L -o models_kolors_aio_simpleai_1214.zip https://huggingface.co/metercai/SimpleSDXL2/resolve/main/models_kolors_aio_simpleai_1214.zip
32.8 GB
- Xet hash:
- 96db4e08602e56de9ba82749a486791360c4c4a1f5a77372dcc0a6d25f71b304
- Size of remote file:
- 32.8 GB
- SHA256:
- 3b774dc9d0734e7e4d53dd6953f40fff41a22d2c3c3e34b64b80b14cd8b7b844
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