File size: 473 Bytes
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license: mit
pipeline_tag: image-to-text
---
widget:
- output:
url: images/ddim_images and images/ddpm_images
text: A futuristic city
## Model Description
Implemented and trained a stable diffusion model from scratch (CLIP + VAE + UNet + Cross-Attention), optimizing schedulers (DDPM, DDIM, Euler Ancestral, DPM-Solver++) and attention mechanisms (Flash Attention, xFormers) to reduce generation time by 22% and improve image clarity using MPS on RunPod GPUs. |