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
Download vae_decoder/openvino_model.bin from optimum-intel-internal-testing/tiny-random-z-image: direct link, hf CLI and curl.
- Browser
- Download file 888 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/ov/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-z-image@ov/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/ov/vae_decoder/openvino_model.bin
888 kB
- Xet hash:
- 6ded1736d6f40c4dc14bed5dab210bef80c0659e753bbc659631d8f8b598da4b
- Size of remote file:
- 888 kB
- SHA256:
- 9f6c31d1dcc5e4bd02eeff4f8e8e4abcdcdd38002fa804a6b258400f3192b8f2
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