[HN Gopher] Meissonic, High-Resolution Text-to-Image Synthesis o...
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       Meissonic, High-Resolution Text-to-Image Synthesis on consumer
       graphics cards
        
       Author : jinqueeny
       Score  : 36 points
       Date   : 2024-10-14 17:33 UTC (5 hours ago)
        
 (HTM) web link (arxiv.org)
 (TXT) w3m dump (arxiv.org)
        
       | fngjdflmdflg wrote:
       | >Meissonic, with just 1B parameters, offers comparable or
       | superior 1024x1024 high-resolution, aesthetically pleasing images
       | while being able to run on consumer-grade GPUs with only 8GB VRAM
       | without the need for any additional model optimizations.
       | Moreover, Meissonic effortlessly generates images with solid-
       | color backgrounds, a feature that usually demands model fine-
       | tuning or noise offset adjustments in diffusion models.
       | 
       | This looks really cool. Also nice to see another architecture
       | being used for image generation besides diffusion. It seems like
       | every NLP problem can be solved with transformers now: text
       | generation/understanding, image generation/understanding,
       | translation, OCR. Perhaps llama 4/5 will have image generation as
       | well. eidt: llama 3.2 already has image editing, they probably
       | just don't want to release an image generator for other reasons.
        
       | jensenbox wrote:
       | The images in the PDF are amazing.
        
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       (page generated 2024-10-14 23:01 UTC)