tian-qing001
commented
9 months ago Hi @yja1, thank you for your attention to our work. Could you please confirm the version of PyTorch you are currently using? It's important to note that AgentSD requires PyTorch version 1.12.1 or higher for scatter_reduce.
python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms --precision full stable-diffusion-v1-4 Error: File "scripts/txt2img.py", line 353, in
main()
File "scripts/txt2img.py", line 303, in main
samplesddim, = sampler.sample(S=opt.ddim_steps,
File "/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, kwargs)
File "/code/stable-diffusion-main/ldm/models/diffusion/plms.py", line 97, in sample
samples, intermediates = self.plms_sampling(conditioning, size,
File "/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, *kwargs)
File "/code/stable-diffusion-main/ldm/models/diffusion/plms.py", line 159, in plms_sampling
outs = self.p_sample_plms(img, cond, ts, index=index, use_original_steps=ddim_use_original_steps,
File "/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(args, kwargs)
File "/code/stable-diffusion-main/ldm/models/diffusion/plms.py", line 225, in p_sample_plms
e_t = get_model_output(x, t)
File "/code/stable-diffusion-main/ldm/models/diffusion/plms.py", line 192, in get_model_output
e_t_uncond, e_t = self.model.apply_model(x_in, t_in, c_in).chunk(2)
File "/code/stable-diffusion-main/ldm/models/diffusion/ddpm.py", line 987, in apply_model
x_recon = self.model(x_noisy, t, cond)
x_recon = self.model(x_noisy, t, cond)
File "/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, kwargs)
File "/code/stable-diffusion-main/ldm/models/diffusion/ddpm.py", line 1410, in forward
out = self.diffusion_model(x, t, context=cc)
File "/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1128, in _call_impl
result = forward_call(*input, *kwargs)
File "/code/stable-diffusion-main/ldm/modules/diffusionmodules/openaimodel.py", line 731, in forward
h = module(h, emb, context)
File "/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(input, kwargs)
File "/code/stable-diffusion-main/ldm/modules/diffusionmodules/openaimodel.py", line 85, in forward
x = layer(x, context)
File "/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, *kwargs)
File "/code/stable-diffusion-main/ldm/modules/attention.py", line 258, in forward
x = block(x, context=context)
File "/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(input, kwargs)
File "/code/stable-diffusion-main/ldm/modules/attention.py", line 209, in forward
return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint)
File "/code/stable-diffusion-main/ldm/modules/diffusionmodules/util.py", line 114, in checkpoint
return CheckpointFunction.apply(func, len(inputs), args)
File "/code/stable-diffusion-main/ldm/modules/diffusionmodules/util.py", line 127, in forward
output_tensors = ctx.run_function(ctx.input_tensors)
File "/code/stable-diffusion-main/ldm/models/diffusion/agentsd/patch.py", line 66, in _forward
feature, agent = ma(y)
File "/code/stable-diffusion-main/ldm/models/diffusion/agentsd/merge.py", line 118, in merge
dst = dst.scatter_reduce(-2, dstidx.expand(n, r, c), src, reduce=mode)
TypeError: scatter_reduce(): argument 'reduce' (position 3) must be str, not Tensor**