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/diffusion_pytorch_model.safetensors from optimum-intel-internal-testing/tiny-random-z-image: direct link, hf CLI and curl.
- Browser
- Download file 1.54 MB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-z-image/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/main/vae/diffusion_pytorch_model.safetensors
1.54 MB
- Xet hash:
- 2f749f3c9b3d0f18d558eed2206562b3228c60e3dd73861bbcb6f10773f9cdf3
- Size of remote file:
- 1.54 MB
- SHA256:
- e4bf3120d6a689843fb8296a245bb43721a67a4df5e7e9fc8b93708d2cc9439b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.