Comments (2)
More details using faulthandler
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It seems the fault happens at the first time of NN computing in stage 2. Could you try to feed forward the panel conditioner in ranni/panel_conditioner.py
with input control = (torch.rand(1, 2, 3, 96, 96).cuda(), torch.rand(1, 2, 1024).cuda())
?
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Related Issues (20)
- bug on initializing open-clip model HOT 3
- Will there be 1.5 and XL versions? 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
- Inference GPU memory 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 HOT 1
- Demo results are bad HOT 1
- About unsatisfactory results HOT 4
- Bad results of demo
- 是否有ComfyUI的实现?
- real image edit HOT 2
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