Text-to-Image
Diffusers
OpenVINO
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
openvino-export
Instructions to use turingevo/tiny-sd-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use turingevo/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("turingevo/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 Settings
- Draw Things
- DiffusionBee
Download vae_decoder/openvino_model.bin from turingevo/tiny-sd-openvino: direct link, hf CLI and curl.
- Browser
- Download file 198 MB
-
https://huggingface.co/turingevo/tiny-sd-openvino/resolve/main/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://turingevo/tiny-sd-openvino/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/turingevo/tiny-sd-openvino/resolve/main/vae_decoder/openvino_model.bin
198 MB
- Xet hash:
- b4de2fedace77375788747c64fc14942073844c6fb701f713ac2557858cb3ccb
- Size of remote file:
- 198 MB
- SHA256:
- 96d917f68e8d9bdce44fb18c0198579f5e9bc344384c4653217f7a637b6bc748
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