Comments (3)
John-WL
commented on July 24, 2024
1
If you have enough RAM, it will still work with your 12 Gb card.
I have 10 Gb of VRAM and the rest is offloaded to my RAM, works fine.
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lixunsong
commented on July 24, 2024
The VRAM size is up to the resolution. It requires about 15GB to generate a video with resolution of 512x768. You can reduce the resolution to lower VRAM usage.
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fenghe12
commented on July 24, 2024
if you’re trainging it,you may need more than 52GB vram
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Related Issues (20)
- Inconsistency of classifier-free guidance between training and testing. HOT 1
- Question about Finetue MotionModel
- how can i return just inference video HOT 2
- Why the height in train stage 1 and train stage 2 are different?
- Question about training memory usage HOT 2
- question about inference parameters
- Is there any difference between diffusers unet_2d_condition and yours unet_2d_condition?
- Misimplementation of Spatial-attention? HOT 2
- Inference Too Buggy
- During both stage 1 and stage 2 training, the training stops unexpectedly for unknown reasons.
- How to reduce the size of the resulting video (while maintaining high quality) HOT 2
- Some top layer parames of reference_unet don't need grad, what is the reason? HOT 1
- stage 1 的可视化问题 HOT 1
- When gradient_accumulation_steps is set to greater than 1, a RuntimeError occurs: "Trying to backward through the graph a second time (or directly access saved tensors after they have already been freed)."
- The confusion between pretrained AutoencoderKL version
- About the implementation of the pose guider
- The align between the pose and the reference pic HOT 1
- RuntimeError: Trying to backward through the graph a second time
- 请问权重有百度网盘的下载链接吗？
- error occurs when set gradient_checking = True during stage 2 HOT 1
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