https://sourcefind.cn/#/model-zoo/1714496519305056258
k100使用上面的sd容器 没txt2img.py git上下了

执行

python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms

data: 0%| | 0/1 [00:00<?, ?it/s]
Sampling: 0%| | 0/1 [00:00<?, ?it/s]
Traceback (most recent call last):
File "scripts/txt2img.py", line 359, in <module> 
main()
File "scripts/txt2img.py", line 305, in main
uc = model.get_learned_conditioning(batch_size * [""])
File "/home/sd/stable-diffusion/ldm/models/diffusion/ddpm.py", line 554, in get_learned_conditioning
c = self.cond_stage_model.encode(c)
File "/home/sd/stable-diffusion/ldm/modules/encoders/modules.py", line 171, in encode
return self(text)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/home/sd/stable-diffusion/ldm/modules/encoders/modules.py", line 165, in forward
outputs = self.transformer(input_ids=tokens)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/site-packages/transformers/models/clip/modeling_clip.py", line 822, in forward
return self.text_model(
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/site-packages/transformers/models/clip/modeling_clip.py", line 730, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/site-packages/transformers/models/clip/modeling_clip.py", line 227, in forward
inputs_embeds = self.token_embedding(input_ids)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/sparse.py", line 158, in forward
return F.embedding(
File "/usr/local/lib/python3.8/site-packages/torch/nn/functional.py", line 2044, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: HIP error: invalid device function
HIP kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing HIP_LAUNCH_BLOCKING=1.

不知道怎么解决