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【1.1 version】
I use the gradio/app.py
prompt: # prompt_text = "A bustling city street at night, filled with the glow of car headlights and the ambient light of streetlights. The scene is a blur of motion, with cars speeding by and pedestrians navigating the crosswalks. The cityscape is a mix of towering buildings and illuminated signs, creating a vibrant and dynamic atmosphere. The perspective of the video is from a high angle, providing a bird's eye view of the street and its surroundings. The overall style of the video is dynamic and energetic, capturing the essence of urban life at night."
I use the same prompt ,with version 1.0 , I find 1.1 is worse than 1.0
We identify the issue. The problem is that we apply qk-norm before applying position encoding. Thus, when we generate longer video (more than 2s), the image quality deteriorates. We will fix this in the next release.
【1.1 version】
I use the gradio/app.py
prompt: # prompt_text = "A bustling city street at night, filled with the glow of car headlights and the ambient light of streetlights. The scene is a blur of motion, with cars speeding by and pedestrians navigating the crosswalks. The cityscape is a mix of towering buildings and illuminated signs, creating a vibrant and dynamic atmosphere. The perspective of the video is from a high angle, providing a bird's eye view of the street and its surroundings. The overall style of the video is dynamic and energetic, capturing the essence of urban life at night."
I use the same prompt ,with version 1.0 , I find 1.1 is worse than 1.0
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