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 model_state_fp16.pt from AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation: direct link, hf CLI and curl.
- Browser
- Download file 71.6 MB
-
https://huggingface.co/AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation/resolve/main/model_state_fp16.pt
- Command line
-
hf download hf://AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation/model_state_fp16.pt
-
curl -L -o model_state_fp16.pt https://huggingface.co/AventIQ-AI/ddpm-cifar10-32_unconditional_image_generation/resolve/main/model_state_fp16.pt
71.6 MB
- Xet hash:
- 8f49c78bf49413a9c0e7f62b8080205ce64919ff57cb17b28f34e56a8a741606
- Size of remote file:
- 71.6 MB
- SHA256:
- 4fbf57492cce8831cb37d785cf8d0d2d0f2cfc519bb4eeb86991ca3f59d37c47
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