Comments (7)
请问你是用的local gradio demo吗,可以试一下最新的代码看看能否成功推理
您好,我使用comfy ui进行生成,16G显存显示OOM,请问有办法解决吗
Did you use the ComfyUI here? They have the pruned version of the model weights, which supports image animation at a resolution of 1024x576 using only 10GB memory.
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请问你是用的local gradio demo吗,可以试一下最新的代码看看能否成功推理
您好,我使用comfy ui进行生成,16G显存显示OOM,请问有办法解决吗
Did you use the ComfyUI here? They have the pruned version of the model weights, which supports image animation at a resolution of 1024x576 using only 10GB memory.
Thanks dude, it works!
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请问你是用的local gradio demo吗,可以试一下最新的代码看看能否成功推理
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可以成功推理了!感谢!
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why I have this?
File "/data2/home/dev_mf/DynamiCrafter/lvdm/modules/attention.py", line 118, in forward
sim = sim.softmax(dim=-1)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 25.31 GiB. GPU 0 has a total capacity of 79.15 GiB of which 7.39 GiB is free. Process 2615231 has 7.30 GiB memory in use. Process 2632653 has 7.30 GiB memory in use. Process 2633258 has 7.30 GiB memory in use. Including non-PyTorch memory, this process has 49.83 GiB memory in use. Of the allocated memory 23.36 GiB is allocated by PyTorch, and 25.96 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.
from dynamicrafter.
请问你是用的local gradio demo吗,可以试一下最新的代码看看能否成功推理
您好,我使用comfy ui进行生成,16G显存显示OOM,请问有办法解决吗
from dynamicrafter.
why I have this?
File "/data2/home/dev_mf/DynamiCrafter/lvdm/modules/attention.py", line 118, in forward sim = sim.softmax(dim=-1) torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 25.31 GiB. GPU 0 has a total capacity of 79.15 GiB of which 7.39 GiB is free. Process 2615231 has 7.30 GiB memory in use. Process 2632653 has 7.30 GiB memory in use. Process 2633258 has 7.30 GiB memory in use. Including non-PyTorch memory, this process has 49.83 GiB memory in use. Of the allocated memory 23.36 GiB is allocated by PyTorch, and 25.96 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.
Try install library xformers
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Related Issues (20)
- Questions about interpolation HOT 2
- Question about DDIM Implementation with V-Parameterization
- Questions about dataset filtering HOT 2
- Is the license available for commercial use? HOT 1
- Fix download stats on Hugging Face, improve discoverability HOT 1
- Question about Training P with only T2V Spatial Layers
- Details of training P HOT 1
- about 1024 inference HOT 3
- About training HOT 2
- 怎么提高插帧视频长度? HOT 4
- How to increase the length of the interpolated video? HOT 3
- generate more than 16 frames with interpolation model HOT 1
- License HOT 5
- Hello, how to increase the length of a video in a text generation video, not Gradio
- why the dimension of per-frame image conditionning is 16? HOT 3
- watermarks in the generated videos HOT 1
- Questions about training longer videos
- usage of motion annotation HOT 2
- Is VideoCrafter checkpoint required for training? HOT 1
- train/finetune 256 model?
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