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Ddpm Celebahq Finetuned Butterflies 2epochs
This is a fine-tuning example model based on Unit 2 of the Diffusion Model Course, designed for unconditional image generation tasks.
Downloads 29
Release Time : 1/21/2024
Model Overview
This model is a diffusion model based on DDPMPipeline, pre-trained on the CelebAHQ dataset and then fine-tuned for 2 epochs on a butterfly image dataset. It is primarily used for unconditional image generation tasks.
Model Features
Unconditional Image Generation
Capable of generating high-quality images without any input conditions.
Diffusion Model Based
Utilizes an advanced diffusion model architecture to generate images through gradual denoising.
Fine-tuning Optimization
Specially optimized for butterfly images based on pre-training with CelebAHQ.
Model Capabilities
Unconditional Image Generation
High-Quality Image Synthesis
Use Cases
Creative Design
Artistic Creation
Generate unique butterfly images for artistic creation.
Can produce diverse butterfly images.
Education & Research
Diffusion Model Teaching
Serves as a practical example for diffusion model courses.
Helps students understand the practical applications of diffusion models.
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