Text-to-Image
Diffusers
OpenVINO
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
openvino-export
Instructions to use rac2026/tiny-sd-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rac2026/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("rac2026/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
- Xet hash:
- fe5b71b33801ac828c508014af213a21b6174dea3fd75302e2e6d0075c8c058a
- Size of remote file:
- 492 MB
- SHA256:
- 7e4fd188081119615a8bb3497fc2db0fa9e045cc6f0c03c797b30def0bc418b8
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