大佬 还没修复KeyError: '64'报错么？

[bbggkk]

File "G:\stable-diffusion-webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "G:\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "G:\stable-diffusion-webui\modules\img2img.py", line 176, in img2img
processed = modules.scripts.scripts_img2img.run(p, *args)
File "G:\stable-diffusion-webui\modules\scripts.py", line 441, in run
processed = script.run(p, *script_args)
File "G:\stable-diffusion-webui\extensions\sd-webui-stablesr\scripts\stablesr.py", line 248, in run
result: Processed = processing.process_images(p)
File "G:\stable-diffusion-webui\modules\processing.py", line 610, in process_images
res = process_images_inner(p)
File "G:\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
File "G:\stable-diffusion-webui\modules\processing.py", line 728, in process_images_inner
samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
File "G:\stable-diffusion-webui\extensions\sd-webui-stablesr\scripts\stablesr.py", line 223, in sample_custom
samples = sampler.sample(p, x, conditioning, unconditional_conditioning, image_conditioning=p.image_conditioning)
File "G:\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 383, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "G:\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 257, in launch_sampling
return func()
File "G:\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 383, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "G:\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 "G:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "G:\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 137, in forward
x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict([cond_in], image_cond_in))
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "G:\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 "G:\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "G:\stable-diffusion-webui\extensions\multidiffusion-upscaler-for-automatic1111\utils\utils.py", line 179, in wrapper
return fn(*args, **kwargs)
File "G:\stable-diffusion-webui\extensions\multidiffusion-upscaler-for-automatic1111\methods\mixtureofdiffusers.py", line 125, in apply_model_hijack
x_tile_out = shared.sd_model.apply_model_original_md(x_tile, t_tile, c_tile)
File "G:\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File "G:\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in call
return self.__orig_func(*args, **kwargs)
File "G:\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 "G:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
out = self.diffusion_model(x, t, context=cc)
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "G:\stable-diffusion-webui\extensions\sd-webui-stablesr\scripts\stablesr.py", line 97, in unet_forward
return getattr(unet, FORWARD_CACHE_NAME)(x, timesteps, context, y, **kwargs)
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward
h = module(h, emb, context)
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 82, in forward
x = layer(x, emb)
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 249, in forward
return checkpoint(
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 121, in checkpoint
return CheckpointFunction.apply(func, len(inputs), *args)
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 136, in forward
output_tensors = ctx.run_function(*ctx.input_tensors)
File "G:\stable-diffusion-webui\extensions\sd-webui-stablesr\srmodule\spade.py", line 141, in
resblock._forward = lambda x, timesteps, resblock=resblock, spade=self.input_blocks[i]: dual_resblock_forward(resblock, x, timesteps, spade, get_struct_cond)
File "G:\stable-diffusion-webui\extensions\sd-webui-stablesr\srmodule\spade.py", line 80, in dual_resblock_forward
h = spade(h, get_struct_cond())
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "G:\stable-diffusion-webui\extensions\sd-webui-stablesr\srmodule\spade.py", line 34, in forward
return checkpoint(
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 121, in checkpoint
return CheckpointFunction.apply(func, len(inputs), *args)
File "G:\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "G:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 136, in forward
output_tensors = ctx.run_function(*ctx.input_tensors)
File "G:\stable-diffusion-webui\extensions\sd-webui-stablesr\srmodule\spade.py", line 39, in _forward
segmap = segmap_dic[str(x_dic.size(-1))]
KeyError: '64'

最新版的SD web ui
明显是脚本有问题

[jasonxyan]

同报错……

Error completing request
Arguments: ('task(yjueyqm04ruyras)', 0, '', '', [], <PIL.Image.Image image mode=RGBA size=1680x720 at 0x7F9526454C70>, None, None, None, None, None, None, 20, 0, 4, 0, 1, False, False, 1, 1, 7, 1.5, 0.5, -1.0, -1.0, 0, 0, 0, False, 720, 1680, 0, 0, 32, 0, '', '', '', [], 11, True, 'Mixture of Diffusers', False, True, 1024, 1024, 64, 64, 32, 4, 'None', 3, False, 10, 1, 1, 64, False, False, False, False, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, True, 2048, 128, True, True, True, False, False, '', 0, False, False, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, None, 'Refresh models', <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7f9526457cd0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7f9526456290>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7f95265a1d50>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7f95265a0580>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7f95265a3cd0>, False, '1:1,1:2,1:2', '0:0,0:0,0:1', '0.2,0.8,0.8', 150, 0.2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, '

\n
• CFG Scale should be 2 or lower.
\n

\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '

Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8

', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '', '

Will upscale the image by the selected scale factor; use width and height sliders to set tile size

', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, None, None, False, None, None, False, None, None, False, None, None, False, None, None, False, 50, 'stablesr_webui_sd-v2-1-512-ema-000117.ckpt', 3, True, 'Wavelet', False) {}
Traceback (most recent call last):
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/img2img.py", line 170, in img2img
processed = modules.scripts.scripts_img2img.run(p, *args)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/scripts.py", line 407, in run
processed = script.run(p, *script_args)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-stablesr/scripts/stablesr.py", line 248, in run
result: Processed = processing.process_images(p)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/processing.py", line 503, in process_images
res = process_images_inner(p)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 42, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/processing.py", line 653, 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 "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-stablesr/scripts/stablesr.py", line 223, in sample_custom
samples = sampler.sample(p, x, conditioning, unconditional_conditioning, image_conditioning=p.image_conditioning)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 358, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 234, in launch_sampling
return func()
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 358, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/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 "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 126, in forward
x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict([cond_in], image_cond_in))
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/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 "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111/tile_utils/utils.py", line 243, in wrapper
return fn(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/multidiffusion-upscaler-for-automatic1111/tile_methods/mixtureofdiffusers.py", line 131, in apply_model_hijack
x_tile_out = shared.sd_model.apply_model_original_md(x_tile, t_tile, c_tile)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/sd_hijack_utils.py", line 17, in
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/modules/sd_hijack_utils.py", line 28, in call
return self.__orig_func(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/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 "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1335, in forward
out = self.diffusion_model(x, t, context=cc)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-stablesr/scripts/stablesr.py", line 97, in unet_forward
return getattr(unet, FORWARD_CACHE_NAME)(x, timesteps, context, y, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 797, in forward
h = module(h, emb, context)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 82, in forward
x = layer(x, emb)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 249, in forward
return checkpoint(
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 121, in checkpoint
return CheckpointFunction.apply(func, len(inputs), *args)
File "/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 136, in forward
output_tensors = ctx.run_function(*ctx.input_tensors)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-stablesr/srmodule/spade.py", line 141, in
resblock._forward = lambda x, timesteps, resblock=resblock, spade=self.input_blocks[i]: dual_resblock_forward(resblock, x, timesteps, spade, get_struct_cond)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-stablesr/srmodule/spade.py", line 80, in dual_resblock_forward
h = spade(h, get_struct_cond())
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-stablesr/srmodule/spade.py", line 34, in forward
return checkpoint(
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 121, in checkpoint
return CheckpointFunction.apply(func, len(inputs), *args)
File "/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 136, in forward
output_tensors = ctx.run_function(*ctx.input_tensors)
File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-stablesr/srmodule/spade.py", line 39, in _forward
segmap = segmap_dic[str(x_dic.size(-1))]
KeyError: '64'

[luochenxi]

Same problem, waiting for update to fix.

[517262521]

同样问题，可以试试不启用Tiled diffusion

[jasonxyan]

同样问题，可以试试不启用Tiled diffusion

那不会爆显存吗……

[amimi818]

同样问题

[Linxmotion]

同样问题

[liyuanshang]

只启用 Tiled VAE，不启用Tiled Diffusion，就不会报错。放大效果是一样的

[raypanq]

升级最新的 multidiffusion 插件就解决了

[ykhasia]

升级最新的 multidiffusion 插件就解决了

最新的multidiffusion 插件仍然没有解决该问题。我的SD还是报同样错误。

[bbggkk]

升级最新的 multidiffusion 插件就解决了

好像1.5的时候已经不报错了，感谢回答，也不经常用，之前就是用到的时候就报错就很烦。