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UnboundLocalError: local variable 'cond_cast_unet' referenced before assignment #157

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wbh1129 opened this issue Feb 17, 2023 · 8 comments
Closed

UnboundLocalError: local variable 'cond_cast_unet' referenced before assignment #157

wbh1129 opened this issue Feb 17, 2023 · 8 comments

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@wbh1129
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wbh1129 commented Feb 17, 2023 

Traceback (most recent call last):
  File "/sd/modules/call_queue.py", line 56, in f
    res = list(func(*args, **kwargs))
  File "/sd/modules/call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "/sd/modules/img2img.py", line 169, in img2img
    processed = process_images(p)
  File "/sd/modules/processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "/sd/modules/processing.py", line 628, in process_images_inner
    samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
  File "/sd/modules/processing.py", line 1044, in sample
    samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
  File "/sd/modules/sd_samplers_kdiffusion.py", line 302, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/sd/modules/sd_samplers_kdiffusion.py", line 221, in launch_sampling
    return func()
  File "/sd/modules/sd_samplers_kdiffusion.py", line 302, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/usr/local/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/sd/repositories/k-diffusion/k_diffusion/sampling.py", line 553, in sample_dpmpp_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/sd/modules/sd_samplers_kdiffusion.py", line 116, in forward
    x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]})
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/sd/repositories/k-diffusion/k_diffusion/external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "/sd/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "/sd/modules/sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "/sd/modules/sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "/sd/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 858, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/sd/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1329, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/sd/extensions/sd-webui-controlnet/scripts/cldm.py", line 147, in forward2
    h = align(h, hs_input.shape[-2:])
  File "/sd/extensions/sd-webui-controlnet/scripts/cldm.py", line 112, in forward
    self.control_model.to(devices.get_device_for("controlnet"))
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/sd/extensions/sd-webui-controlnet/scripts/cldm.py", line 425, in forward
    hint = align(hint.unsqueeze(0), (h, w))
UnboundLocalError: local variable 'cond_cast_unet' referenced before assignment

Depth preprocessor, depth model, inpainting (not inpainting model), python: 3.10.9  •  torch: 1.13.1+cpu  •  xformers: N/A  •  gradio: 3.16.2

Worked around with git checkout f1724fd^
@demirklvc
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getting the same error
Bildschirmfoto 2023-02-17 um 16 53 25

Mikubill referenced this issue Feb 17, 2023
@Mikubill
Merge branch 'main' of /~https://github.com/Mikubill/sd-webui-controlnet
312882e
@Mikubill
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hmm..try update again?

@wbh1129
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wbh1129 commented Feb 17, 2023

hmm..try update again?

All good now, thank you!

@wbh1129
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wbh1129 commented Feb 17, 2023

I can't close the issue, permissions related?

@ajaxaddicted
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ajaxaddicted commented Feb 17, 2023 •
edited
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I have just updated the extension, reloaded the UI and still get the error:

     [  0,   0,   0, 255]]], dtype=uint8)}, False, 'Scale to Fit (Inner Fit)', False, False, 512, 64, 64, 1, False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0) {}
Traceback (most recent call last):
  File "H:\SD\stable-diffusion-webui\modules\call_queue.py", line 56, in f
    res = list(func(*args, **kwargs))
  File "H:\SD\stable-diffusion-webui\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\modules\txt2img.py", line 56, in txt2img
    processed = process_images(p)
  File "H:\SD\stable-diffusion-webui\modules\processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "H:\SD\stable-diffusion-webui\modules\processing.py", line 628, in process_images_inner
    samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
  File "H:\SD\stable-diffusion-webui\modules\processing.py", line 828, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 323, in sample
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 221, in launch_sampling
    return func()
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 323, in <lambda>
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 116, in forward
    x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]})
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "H:\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1329, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 147, in forward2
    if self.lowvram:
  File "H:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 112, in forward
    control = outer.control_model(x=x, hint=outer.hint_cond, timesteps=timesteps, context=context)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 427, in forward
    from modules.devices import cond_cast_unet
UnboundLocalError: local variable 'cond_cast_unet' referenced before assignment

@demirklvc
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it works for me again. thanks

@wbh1129
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wbh1129 commented Feb 17, 2023

I have just updated the extension, reloaded the UI and still get the error:

     [  0,   0,   0, 255]]], dtype=uint8)}, False, 'Scale to Fit (Inner Fit)', False, False, 512, 64, 64, 1, False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0) {}
Traceback (most recent call last):
  File "H:\SD\stable-diffusion-webui\modules\call_queue.py", line 56, in f
    res = list(func(*args, **kwargs))
  File "H:\SD\stable-diffusion-webui\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\modules\txt2img.py", line 56, in txt2img
    processed = process_images(p)
  File "H:\SD\stable-diffusion-webui\modules\processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "H:\SD\stable-diffusion-webui\modules\processing.py", line 628, in process_images_inner
    samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
  File "H:\SD\stable-diffusion-webui\modules\processing.py", line 828, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 323, in sample
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 221, in launch_sampling
    return func()
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 323, in <lambda>
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 116, in forward
    x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]})
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "H:\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1329, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 147, in forward2
    if self.lowvram:
  File "H:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 112, in forward
    control = outer.control_model(x=x, hint=outer.hint_cond, timesteps=timesteps, context=context)
  File "H:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "H:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 427, in forward
    from modules.devices import cond_cast_unet
UnboundLocalError: local variable 'cond_cast_unet' referenced before assignment

Restart SD instead of just the UI?

@ajaxaddicted
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Now it works for me as well. Thanks for the fix👍🏻

@Mikubill Mikubill mentioned this issue Feb 17, 2023
Closed
@brkirch brkirch mentioned this issue Feb 18, 2023
Merged
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4 participants
@ajaxaddicted @Mikubill @demirklvc @wbh1129