Instructions to use Ketansomewhere/cifar10_conditional_diffusion1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ketansomewhere/cifar10_conditional_diffusion1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ketansomewhere/cifar10_conditional_diffusion1", 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
Update README.md
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README.md
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language:
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- en
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library_name: diffusers
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pipeline_tag: text-to-image
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tags:
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- Class conditioned Diffusion
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- CIFAR10 Diffusion
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language:
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- en
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library_name: diffusers
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tags:
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- Class conditioned Diffusion
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- CIFAR10 Diffusion
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