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pkuliyi2015 / sd-webui-stablesr

StableSR for Stable Diffusion WebUI - Ultra High-quality Image Upscaler
https://iceclear.github.io/projects/stablesr/
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1.05k stars 54 forks source link

KeyError: '8' #32

Open he3764 opened 1 year ago

he3764 commented 1 year ago

Error completing request Arguments: ('task(nfljhzf75zkstrx)', 0, '', '', [], <PIL.Image.Image image mode=RGBA size=512x512 at 0x7F74C161CC70>, None, None, None, None, None, None, 20, 0, 4, 0, 1, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 512, 512, 0, 0, 32, 0, '', '', '', [], 12, True, 'Mixture of Diffusers', False, True, 1024, 1024, 64, 64, 32, 8, 'None', 2, 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, 3072, 256, True, True, True, False, 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 0x7f74c1730b50>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7f74c17335e0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x7f74c1731de0>, 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', 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, 'Not set', True, True, '', '', '', '', '', 1.3, 'Not set', 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', False, 'None', None, None, False, None, None, False, None, None, False, 50, 'sd-v2-1-512-ema-000117.ckpt', 2, True, 'Wavelet', False, '

Will upscale the image depending on the selected target size type

', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {} 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: '8'