Instructions to use rupeshs/sdxs-512-0.9-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rupeshs/sdxs-512-0.9-openvino with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rupeshs/sdxs-512-0.9-openvino", 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
- Local Apps
- Draw Things
- DiffusionBee
Original model : SDXS-512-0.9
You can use this model with FastSD CPU.
To run the model yourself, you can leverage the 𧨠Diffusers library:
- Install the dependencies:
pip install optimum-intel openvino diffusers onnx
- Run the model:
from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipeline
pipeline = OVStableDiffusionPipeline.from_pretrained(
"rupeshs/sdxs-512-0.9-openvino",
ov_config={"CACHE_DIR": ""},
)
prompt = "A cute cat"
images = pipeline(
prompt=prompt,
width=512,
height=512,
num_inference_steps=1,
guidance_scale=1.0,
).images
images[0].save("out_image.png")
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