Exception occurs when I try to generate image

[mengdalida]

Traceback (most recent call last):
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\gradio\routes.py", line 384, in run_predict
output = await app.get_blocks().process_api(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\gradio\blocks.py", line 1032, in process_api
result = await self.call_function(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\gradio\blocks.py", line 844, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_th read
return await future
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\anyio_backends_asyncio.py", line 867, in run
result = context.run(func, args)
File "visual_chatgpt.py", line 866, in run_text
res = self.agent({"input": text})
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\langchain\chains\base.py", line 168, in call
raise e
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\langchain\chains\base.py", line 165, in call
outputs = self._call(inputs)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\langchain\agents\agent.py", line 503, in _call
next_step_output = self._take_next_step(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\langchain\agents\agent.py", line 420, in _take_next_step
observation = tool.run(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\langchain\tools\base.py", line 71, in run
raise e
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\langchain\tools\base.py", line 68, in run
observation = self._run(tool_input)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\langchain\agents\tools.py", line 17, in _run
return self.func(tool_input)
File "visual_chatgpt.py", line 255, in inference
image = self.pipe(prompt, negative_prompt=self.n_prompt).images[0]
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(args, kwargs)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.p y", line 667, in call
noise_pred = self.unet(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, *kwargs)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\diffusers\models\unet_2d_condition.py", line 582, in forward
sample, res_samples = downsample_block(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(input, kwargs)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\diffusers\models\unet_2d_blocks.py", line 836, in forward
hidden_states = resnet(hidden_states, temb)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, *kwargs)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\diffusers\models\resnet.py", line 540, in forward
hidden_states = self.norm1(hidden_states)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(input, **kwargs)
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\torch\nn\modules\normalization.py", line 273, in forward
return F.group_norm(
File "C:\Users\xingzi\anaconda3\envs\visgpt\lib\site-packages\torch\nn\functional.py", line 2528, in group_norm
return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError

[wyatthomg]

use linux easier than window