Bug when using with controlnet

[aravindhv10]

Hi, when using tiled diffusion with more than one controlnet in series, I was running into errors. The workflow is here:
https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/counter_example.json

The exact error is:

Requested to load ControlNet
Requested to load SDXL
Loading 3 new models
  0%|                                                                                                                         | 0/4 [00:07<?, ?it/s]
!!! Exception during processing !!!
Traceback (most recent call last):
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/execution.py", line 151, in recursive_execute
    output_data, output_ui = get_output_data(obj, input_data_all)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/execution.py", line 81, in get_output_data
    return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/execution.py", line 74, in map_node_over_list
    results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/nodes.py", line 1344, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/nodes.py", line 1314, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative
    return original_sample(*args, **kwargs)  # This code helps interpret error messages that occur within exceptions but does not have any impact on
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-Advanced-ControlNet/adv_control/control_reference.py", line 47, in refcn_sam
    return orig_comfy_sample(model, *args, **kwargs)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/sample.py", line 37, in sample
    samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_d
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 755, in sample
    return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 657, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 644, in sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 623, in inner_sample
    samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 534, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
  File "/home/ubuntu/dbnew/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/k_diffusion/sampling.py", line 539, in sample_dpmpp_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 272, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 610, in __call__
    return self.predict_noise(*args, **kwargs)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 613, in predict_noise
    return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/comfy/samplers.py", line 258, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/.patches.py", line 89, in calc_cond_batch
    output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
  File "/home/ubuntu/dbnew/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/tiled_diffusion.py", line 546, in __call__
    self.process_controlnet(x_tile.shape, x_tile.dtype, c_in, cond_or_uncond, bboxes, N, batch_id)
  File "/home/ubuntu/GITHUB/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/tiled_diffusion.py", line 342, in process_controlnet
    self.control_params[tuple_key][param_id][batch_id]=control.cond_hint
IndexError: list assignment index out of range

It seems that self.control_params (https://github.com/shiimizu/ComfyUI-TiledDiffusion/blob/main/tiled_diffusion.py#L292) in some circumstances is not initialized properly.
I found a hacky way to fix this:
https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/tiled_diffusion.py#L308-L314
wanted to know if this could be merged or there was a better way?
Perhaps, these lines:
https://github.com/shiimizu/ComfyUI-TiledDiffusion/blob/main/tiled_diffusion.py#L303-L306
can be rewritten.

Thanks!

[gshawn3]

Thanks for reporting this! I ran into the same problem a week ago and hadn't had a chance to file an issue just yet. But I can also confirm that the node breaks when using more than one ControlNet in series.

[aravindhv10]

I ran into these bugs when working with instant ID on huge images. Even after fixing this using the method I have mentioned, the issues remained on instant ID side. So once we have a proper solution here, I will report the issue in instant ID page!

[Dervlex]

Any idea to fix it ?

[aravindhv10]

I managed to find a quick fix to the multiple controlnet problem in the links I had shared above (https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/tiled_diffusion.py#L308-L314). Donot know of a solution for instant ID yet.

If you just want to use tile diffusion with multiple controlnets for now, you can use the fork and branch from the link.

[Dervlex]

I managed to find a quick fix to the multiple controlnet problem in the links I had shared above (https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/tiled_diffusion.py#L308-L314). Donot know of a solution for instant ID yet.

If you just want to use tile diffusion with multiple controlnets for now, you can use the fork and branch from the link.

Duuuude Youre crazy! Thank you very much !

Can you text me on discord ?
Would like to share my upscale workflow with you as thank you!

Dervlex is my name on Discord

[Dervlex]

I managed to find a quick fix to the multiple controlnet problem in the links I had shared above (https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/tiled_diffusion.py#L308-L314). Donot know of a solution for instant ID yet.

If you just want to use tile diffusion with multiple controlnets for now, you can use the fork and branch from the link.

But i get errors on 3 Control Nets now xD

2 works. 3 not :D

[Dervlex]

!!! Exception during processing!!! object of type 'NoneType' has no len()
Traceback (most recent call last):
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\nodes.py", line 1344, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\nodes.py", line 1314, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\sample.py", line 37, in sample
samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 755, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 657, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 644, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 623, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 534, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "C:\Users\dervl\ComfyUI Neu\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\k_diffusion\sampling.py", line 745, in sample_lcm
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 272, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 610, in call
return self.predict_noise(*args, **kwargs)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 613, in predict_noise
return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 258, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 89, in calc_cond_batch
output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
File "C:\Users\dervl\ComfyUI Neu\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\tiled_diffusion.py", line 554, in call
self.process_controlnet(x_tile.shape, x_tile.dtype, c_in, cond_or_uncond, bboxes, N, batch_id)
File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\tiled_diffusion.py", line 312, in process_controlnet
while len(self.control_params[tuple_key][param_id]) <= batch_id:
TypeError: object of type 'NoneType' has no len()

[Vigilence]

I managed to find a quick fix to the multiple controlnet problem in the links I had shared above (https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/tiled_diffusion.py#L308-L314). Donot know of a solution for instant ID yet.
If you just want to use tile diffusion with multiple controlnets for now, you can use the fork and branch from the link.

But i get errors on 3 Control Nets now xD

2 works. 3 not :D

Same. Just tested with 4. Doesn't work, but if I disable 2 of them then it will work. Nothing more then 2 will work.

[aravindhv10]

Hi, sorry for the delayed reply. I made a few more changes in the same fork. It should now atleast work with 3 controlnets for SDXL (I tried with full canny, depth and TTPlanet tile). It was a minor bug in my code.

[Vigilence]

Hi, sorry for the delayed reply. I made a few more changes in the same fork. It should now atleast work with 3 controlnets for SDXL (I tried with full canny, depth and TTPlanet tile). It was a minor bug in my code.

I tried your new update with more then one controlnet and it wouldn't work. Disabling everything except one controlnet makes it work.

[aravindhv10]

I was able to use it with 3 controlnets, can you check you are using the correct branch in my fork? You have can use "git switch fix_controlnet".

[aravindhv10]

!!! Exception during processing!!! object of type 'NoneType' has no len() Traceback (most recent call last): File "C:\Users\dervl\ComfyUI Neu\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\nodes.py", line 1344, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\nodes.py", line 1314, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations. File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample return orig_comfy_sample(model, *args, **kwargs) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\sample.py", line 37, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 755, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 657, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 644, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 623, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 534, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) File "C:\Users\dervl\ComfyUI Neu\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\k_diffusion\sampling.py", line 745, in sample_lcm denoised = model(x, sigmas[i] * s_in, **extra_args) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 272, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 610, in call return self.predict_noise(*args, **kwargs) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 613, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\comfy\samplers.py", line 258, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 89, in calc_cond_batch output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks) File "C:\Users\dervl\ComfyUI Neu\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\tiled_diffusion.py", line 554, in call self.process_controlnet(x_tile.shape, x_tile.dtype, c_in, cond_or_uncond, bboxes, N, batch_id) File "C:\Users\dervl\ComfyUI Neu\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\tiled_diffusion.py", line 312, in process_controlnet while len(self.control_params[tuple_key][param_id]) <= batch_id: TypeError: object of type 'NoneType' has no len()

Hi, what was the video memory you have ? Can you try reducing the tile diffusion batch size?

[aravindhv10]

I managed to run this workflow:

https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/tile_diffusion_sr.json

on G5.2x large aws machine (24 gb gpu memory, ubuntu 22.04 native os python with venv) with the packages:
https://github.com/aravindhv10/ComfyUI-TiledDiffusion/blob/fix_controlnet/versions

The xformers seem to help.

[aravindhv10]

Hi, I also noticed that this error is very difficult to reproduce and depends on the resolution and other matters of the input image. I found that bypassing instant id resolves the error for me. Probably it comes from combination of insight face (face detection) and other complex interactions from instant id.

[Vigilence]

@aravindhv10 I am testing the update now. So far its working very great! I noticed some incompatibility with midas depth node, and zoe depth node, but it works with the regular depth node and leres node.