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Update README.md

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  ---
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  license: mit
 
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  ---
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  widget:
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  - output:
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- url: images/ddim_images/1_82.png
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  text: A futuristic city
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  ## Model Description
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- 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.
 
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  ---
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  license: mit
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+ pipeline_tag: image-to-text
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  ---
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  widget:
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  - output:
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+ url: images/ddim_images and images/ddpm_images
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  text: A futuristic city
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  ## Model Description
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+ 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.