DreamO

❗️❗️❗️User Guide:

• The most important thing to do first is to try the examples provided below the demo, which will help you better understand the capabilities of the DreamO model and the types of tasks it currently supports
• For each input, please select the appropriate task type. For general objects, characters, or clothing, choose IP — we will remove the background from the input image. If you select ID, we will extract the face region from the input image (similar to PuLID). If you select Style, the background will be preserved, and you must prepend the prompt with the instruction: 'generate a same style image.' to activate the style task.
• To accelerate inference, we adopt FLUX-turbo LoRA, which reduces the sampling steps from 25 to 12 compared to FLUX-dev. Additionally, we distill a CFG LoRA, achieving nearly a twofold reduction in steps by eliminating the need for true CFG