Instructions to use AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation", 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
Download sample_generation_fp16.png from AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation: direct link, hf CLI and curl.
- Browser
- Download file 2.04 kB
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https://huggingface.co/AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation/resolve/main/sample_generation_fp16.png
- Command line
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hf download hf://AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation/sample_generation_fp16.png
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curl -L -o sample_generation_fp16.png https://huggingface.co/AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation/resolve/main/sample_generation_fp16.png
2.04 kB
