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_encoder/openvino_model.bin from turingevo/tiny-sd-openvino: direct link, hf CLI and curl.
- Browser
- Download file 137 MB
-
https://huggingface.co/turingevo/tiny-sd-openvino/resolve/main/vae_encoder/openvino_model.bin
- Command line
-
hf download hf://turingevo/tiny-sd-openvino/vae_encoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/turingevo/tiny-sd-openvino/resolve/main/vae_encoder/openvino_model.bin
137 MB
- Xet hash:
- 9b68ef9a42f34319c128510cc7445c7a8ab8ba775f3277aab1381fbd4d15ec3d
- Size of remote file:
- 137 MB
- SHA256:
- a718fb05dbd9acada4c8774904f1a969599c4e6ccd42d6ad13d8986d015df0d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.