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The paper introduces PIXART-, a text-to-image synthesis framework that integrates the Latent Consistency Model (LCM) and ControlNet. PIXART- generates high-quality images of 1024px resolution with efficient training and fast inference speed. It offers fine-grained control over image generation and is a promising alternative to other models in the field.
https://arxiv.org/abs//2401.05252
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper introduces PIXART-, a text-to-image synthesis framework that integrates the Latent Consistency Model (LCM) and ControlNet. PIXART- generates high-quality images of 1024px resolution with efficient training and fast inference speed. It offers fine-grained control over image generation and is a promising alternative to other models in the field.
https://arxiv.org/abs//2401.05252
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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