Instructions to use optimum-intel-internal-testing/tiny-random-latent-consistency 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-latent-consistency 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-latent-consistency", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 2173c911db3548777530d1707f27319c65244bd74583d82c49a52aa64c1d2127
- Size of remote file:
- 59.8 kB
- SHA256:
- b023ca2edc02c318f3c46b7c8c05d21c188724d40b51855065fec0f91bf950ef
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