Text-to-Image
Diffusers
OpenVINO
OVStableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
openvino-export
Instructions to use anokimchen/tiny-sd-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anokimchen/tiny-sd-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("anokimchen/tiny-sd-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
Upload unet/openvino_model.xml with huggingface_hub
Browse files- unet/openvino_model.xml +0 -0
unet/openvino_model.xml
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