Comments (1)
The GPU memory usage is about 38GB. It is noted that the two main components are running individually. To save memory, you could move the Llama and stable diffusion model to cpu first, and move them to gpu when using them. For applying text-to-panel, move the Llama to gpu. For applying panel-to-text, move the stable diffusion to gpu.
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Related Issues (17)
- ModuleNotFoundError: No module named 'ldm.models' HOT 3
- llama 13b version? HOT 1
- bug on initializing open-clip model HOT 3
- Will there be 1.5 and XL versions? HOT 2
- Segmentation fault error when doing panel-to-image HOT 2
- pip conflict when install the requirements during conda env creation HOT 5
- Why are the results I tried so different from the results in the paper? HOT 4
- Why the box prompt not same as in paper. HOT 1
- Continuous editing HOT 3
- Example results HOT 1
- demo error HOT 1
- all black when running the text to panel HOT 6
- Image generation results are easily affected by random seed HOT 2
- Quantized Model Usage? HOT 1
- this method is powerful, i hope you can release more code and checkpoint HOT 1
- Training code
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