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_encoder/openvino_model.bin from optimum-intel-internal-testing/tiny-random-z-image: direct link, hf CLI and curl.
- Browser
- Download file 614 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/ov/vae_encoder/openvino_model.bin
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-z-image@ov/vae_encoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/ov/vae_encoder/openvino_model.bin
614 kB
- Xet hash:
- 263cb18a107652c7f74ece80e3a8b15ac6fc016bd782fb88da000f5d5a745c1e
- Size of remote file:
- 614 kB
- SHA256:
- beccd85fbaad2916bd0783029ca2f03e4277b5a95d9a6570d4f1326c3904ed4c
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