Instructions to use optimum-intel-internal-testing/tiny-random-z-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-z-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-z-image", 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
Commit History
9 days ago
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Add reference OpenVINO IRs
Verified signatureGenerated with: - transformers==5.10.4 - optimum-intel==2.3.0.dev0+af9c853a - openvino==2026.5.0-233264c19fea -
Add reference OpenVINO IRs
Generated with: - transformers==5.10.4 - optimum-intel==2.3.0.dev0+3329b15b - openvino==2026.5.0-23326 (#3) - Add reference OpenVINO IRs (bd489cb4ec48f31282d0b7d1c4f2416379775caa)f9251d1
19 days ago
-
Add reference OpenVINO IRs
Verified signatureGenerated with: - transformers==5.10.4 - optimum-intel==2.3.0.dev0+e1c31ae1 - openvino==2026.4.0-22959-99c81491cc3-releases/2026/42370255