Ddpm Celebahq Finetuned Butterflies 2epochs
A fine-tuned example model from the second unit of the diffusion model course, using DDPM architecture pre-trained on CelebAHQ dataset and fine-tuned for butterfly images for 2 epochs
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Release Time : 10/26/2023
Model Overview
This is an unconditional image generation model based on Denoising Diffusion Probabilistic Models (DDPM) architecture, capable of generating high-quality butterfly images.
Model Features
High-Quality Image Generation
Based on diffusion model technology, capable of generating butterfly images with rich details
Fine-Tuned Model
Fine-tuned for specific domain (butterflies) based on CelebAHQ pre-training
Easy to Use
Can be easily called through Hugging Face's Diffusers library
Model Capabilities
Unconditional Image Generation
High-Resolution Image Synthesis
Domain-Specific Image Generation
Use Cases
Creative Design
Butterfly Image Generation
Generate diverse butterfly images for artistic creation or design projects
Can generate butterflies in different poses and colors
Education & Research
Diffusion Model Teaching Example
Used to demonstrate the fine-tuning process and effects of diffusion models
Can serve as a practical case for diffusion model courses
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