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Precise control of graphics! Tencent Hunyuan Wenshengtu open source model launches three ControlNet plug-ins
Tencent HunyuanDiT recently released three new controllable plug-ins ControlNet with the community, namely tile (high-definition magnification), inpainting (image restoration and expansion) and lineart (line draft raw image), further expanding its ControlNet matrix. The addition of these plug-ins enables the HunyuanDiT model to cover a wider range of application scenarios, including art, creativity, architecture, photography, beauty and e-commerce, etc. 80% cases and scenarios provide more accurate...- 4.4k
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The August list of the Chinese multimodal large model SuperCLUE-V benchmark is released, with Tencent Hunyuan ranking first
According to Tencent Technology’s report today, the August list of the Chinese multimodal big model SuperCLUE-V benchmark was released, and Tencent’s Hunyuan big model ranked first among domestic big models (71.95 points). Tencent Technology claims that the model accurately identifies image elements and generates natural language descriptions, fully understanding and insight into details. This evaluation covered 12 highly representative multimodal understanding big models at home and abroad, and Tencent’s Hunyuan model scored 71.95 in multimodal basic capabilities and application capabilities. According to inquiries, the August list covers the 12 most representative domestic and foreign…- 1.9k
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Hunyuan DiT deployment experience, a cultural model with powerful Chinese creation capabilities
Hello everyone, I set a flag when introducing Tencent's open source Hunyuan-DiT Wenshengtu model: to publish a deployment tutorial, because my graphics card is 16G, which just meets the minimum video memory requirement. Some friends have left messages expressing their interest in this, so today, it is here! It should be noted that the computer graphics card required for this deployment must have a video memory of more than 11G. If you want to experience multiple rounds of dialogue, the video memory must be more than 32G. This tutorial will not go into details about the installation of graphics card drivers and Cuda. If you are interested, you can read my previous article: "Ubuntu22.04 …- 6.3k
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