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This model is a diffusion model trained on the Oxford Flowers dataset for generating 32x32 flower images.

Usage

from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('abhisheksan/flower-diffusion-32px')
image = pipeline().images[0]

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Unconditional Image Generation

This model is not currently available via any of the supported third-party Inference Providers, and the HF Inference API does not support diffusers models with pipeline type unconditional-image-generation