Description
Is there an existing issue for this?
- I have searched the existing issues and checked the recent builds/commits
What happened?
When trying to use the img2img alternative test script with the SDXL base model this error outputs:
img2imgalt.py", line 85, in find_noise_for_image_sigma_adjustment
cond_in = torch.cat([uncond, cond])
^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: expected Tensor as element 0 in argument 0, but got dict
Steps to reproduce the problem
- Load SDXL 1.0 base model
- Go to img2img tab and insert any image
- Load img2img alternative test script
- Try to generate image
What should have happened?
Script should create a noise pattern based on image.
Version or Commit where the problem happens
1.5.1
What Python version are you running on ?
Python 3.11.x (above, no supported yet)
What platforms do you use to access the UI ?
Windows
What device are you running WebUI on?
Nvidia GPUs (RTX 20 above)
Cross attention optimization
Automatic
What browsers do you use to access the UI ?
Mozilla Firefox
Command Line Arguments
None
List of extensions
None
Console logs
---
0%| | 0/50 [00:00<?, ?it/s]
*** Error completing request
*** Arguments: ('task(8znmuv88fptwc5g)', 0, '1', '', [], <PIL.Image.Image image mode=RGBA size=512x512 at 0x1599DEE5890>, 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, 0, 512, 512, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x000001599DEE5FD0>, 1, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001581B7AD4D0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x00000157DCEB88D0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001599E1B9D90>, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, True, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, True, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, None, None, False, None, None, False, 50) {}
Traceback (most recent call last):
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\modules\call_queue.py", line 58, in f
res = list(func(*args, **kwargs))
^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\modules\img2img.py", line 230, in img2img
processed = modules.scripts.scripts_img2img.run(p, *args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\modules\scripts.py", line 501, in run
processed = script.run(p, *script_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\scripts\img2imgalt.py", line 216, in run
processed = processing.process_images(p)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\modules\processing.py", line 677, in process_images
res = process_images_inner(p)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\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 "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\modules\processing.py", line 794, 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 "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\scripts\img2imgalt.py", line 188, in sample_extra
rec_noise = find_noise_for_image_sigma_adjustment(p, cond, uncond, cfg, st)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\scripts\img2imgalt.py", line 85, in find_noise_for_image_sigma_adjustment
cond_in = torch.cat([uncond, cond])
^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: expected Tensor as element 0 in argument 0, but got dict
---
Additional information
I tried making these additions to the script:
cond_tensor = cond['crossattn']
uncond_tensor = uncond['crossattn']
cond_in = torch.cat([uncond_tensor, cond_tensor], dim=1)
cond_in = {"c_concat": cond_in}
cond['crossattn'] = cond_in
uncond['crossattn'] = cond_in
Which solved some errors but ultimately led to this error:
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\repositories\generative-models\sgm\modules\diffusionmodules\wrappers.py", line 28, in forward
return self.diffusion_model(
^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\venv\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\X Drive\MachineLearning\Stable Diffusion\I dont even know anymore\LatestBuildForTesting\stable-diffusion-webui\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 979, in forward
assert (y is not None) == (
^^^^^^^^^^^^^^^^^^^^
AssertionError: must specify y if and only if the model is class-conditional