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2024-04-28 10:39:15 更新

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PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

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PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

PixArt-α is a Transformer-based Text-to-Image (T2I) diffusion model whose image generation quality is on par with current state-of-the-art image generators, such as Imagen, SDXL, and even Midjourney. Additionally, it boasts significantly faster training speeds compared to existing large-scale image generators.

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