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I'm trying this extension for the latest A1111 commit on a MBP M1 with SD2 768 model. Accordingly, the following flags are used to start the system: --skip-torch-cuda-test --no-half --use-cpu interrogate
torch==1.12.1
torchvision==0.13.1
Everything works fine in the system, but the heatmap doesn't get generated. A1111 returns the following error:
numpy.core._exceptions._UFuncOutputCastingError: Cannot cast ufunc 'divide' output from dtype('float64') to dtype('int64') with casting rule 'same_kind'
The text was updated successfully, but these errors were encountered:
File "/Users/UserName/Desktop/stable-diffusion-webui/modules/script_callbacks.py", line 121, in before_image_saved_callback
c.callback(params)
File "/Users/UserName/Desktop/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam_script.py", line 207, in handle_before_image_saved
before_image_saved_handler(params)
File "/Users/UserName/Desktop/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam_script.py", line 108, in
before_image_saved_handler = lambda params : self.before_image_saved(params)
File "/Users/UserName/Desktop/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam_script.py", line 162, in before_image_saved
global_heat_map = self.tracer.compute_global_heat_map(styled_prompot, batch_pos)
File "/Users/UserName/Desktop/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam/trace.py", line 142, in compute_global_heat_map
time_weights = [1.0] * len(self.forward_hook.all_heat_maps)
numpy.core._exceptions._UFuncOutputCastingError: Cannot cast ufunc 'divide' output from dtype('float64') to dtype('int64') with casting rule 'same_kind'
I'm trying this extension for the latest A1111 commit on a MBP M1 with SD2 768 model. Accordingly, the following flags are used to start the system:
--skip-torch-cuda-test --no-half --use-cpu interrogate
torch==1.12.1
torchvision==0.13.1
Everything works fine in the system, but the heatmap doesn't get generated. A1111 returns the following error:
numpy.core._exceptions._UFuncOutputCastingError: Cannot cast ufunc 'divide' output from dtype('float64') to dtype('int64') with casting rule 'same_kind'
The text was updated successfully, but these errors were encountered: