[Bug]: Error: local variable 'h' referenced before assignment.

[nicholasVANDAL]

Have you read the latest version of the FAQ?

• I have visited the FAQ page right now and my issue is not present there

Is there an existing issue for this?

• I have searched the existing issues and checked the recent builds/commits of both this extension and the webui

Are you using the latest version of the Deforum extension?

• I have Deforum updated to the lastest version and I still have the issue.

What happened?

I am using deforum with controlnet.
I have 5 controlnets all set to reference only.

It seems to generate the first frame but then after that it throw an error in k-diffusion?

Steps to reproduce the problem

1. Goto deforum tab,
2. enable 5 controlnets with different images, reference only
3. have cadence set to 4 and coherance set to dis fine for both flow cadence and flow generation
4. set 500 frames and hit generate

What should have happened/how would you fix it?

not to have an error thrown

Torch version

2.0.1+cu118

On which platform are you launching the webui with the extension?

Local PC setup (Windows)

Deforum settings

https://gist.github.com/nicholasVANDAL/62ae5bab1f79eab258c7bb9d1a2e395b

Webui core settings

https://gist.github.com/nicholasVANDAL/1cf02d15a8e4a8932d71b0c9d2ec80b2

Console logs

venv "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\venv\Scripts\Python.exe"
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec  6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Version: v1.6.0
Commit hash: 5ef669de080814067961f28357256e8fe27544f4
Launching Web UI with arguments: --xformers --no-half --no-half-vae
2023-10-19 10:47:26,739 - ControlNet - INFO - ControlNet v1.1.411
ControlNet preprocessor location: C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\annotator\downloads
2023-10-19 10:47:26,833 - ControlNet - INFO - ControlNet v1.1.411
Loading weights [31e35c80fc] from C:\Users\va-ai.render\stable-diffusion-webui-sdxl\models\Stable-diffusion\sd_xl_base_1.0.safetensors
*Deforum ControlNet support: enabled*
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Creating model from config: C:\Users\va-ai.render\stable-diffusion-webui-sdxl\repositories\generative-models\configs\inference\sd_xl_base.yaml
Startup time: 12.9s (prepare environment: 4.8s, import torch: 2.8s, import gradio: 0.8s, setup paths: 0.7s, initialize shared: 0.2s, other imports: 0.5s, setup codeformer: 0.2s, load scripts: 1.4s, create ui: 0.7s, gradio launch: 0.7s).
Applying attention optimization: xformers... done.
Model loaded in 7.4s (load weights from disk: 1.4s, create model: 1.1s, apply weights to model: 2.9s, apply float(): 0.9s, move model to device: 0.4s, calculate empty prompt: 0.7s).
reading custom settings from D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019102806_NYE_GLOW-HOOP\20231019102806_settings.txt
started run_deforum
times_to_run: 1
Deforum extension for auto1111 webui
Git commit: 43158f9c
Starting job task(6emk69e46gqk4uz)-0...
Copied CN Model 1's single input image to inputframes folder!
Copied CN Model 2's single input image to inputframes folder!
Copied CN Model 3's single input image to inputframes folder!
Copied CN Model 4's single input image to inputframes folder!
Copied CN Model 5's single input image to inputframes folder!
Saving animation frames to:
D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP
Animation frame: 0/500
Seed: 3050216332
Prompt: neon lines, neon shapes, glow, neon circles, circular, circle, vibes, vibrant, stunningly beautiful, crisp, sleek, ultramodern, high contrast, cinematic, professional, shpere, circles a picture of a colorful flower on a black background, infinity glyph waves, redshift, neon ligh, avatar image, spinning, centered and symmetrical, the energy is released, stylised design, phasmophobia, girih, depth blur, interconnected, joytoy, looping
Neg Prompt: painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, nsfw, nude, ugly, words, text, asymmetric  text, logo, watermark, words, branding, word, dark, person, people, human, face  nsfw, nude
Not using an init image (doing pure txt2img)
╭─────┬────┬───────┬────┬────┬────┬────┬────┬────╮
│Steps│CFG │Denoise│Tr X│Tr Y│Tr Z│Ro X│Ro Y│Ro Z│
├─────┼────┼───────┼────┼────┼────┼────┼────┼────┤
│ 50  │12.0│   0   │ 0  │ 0  │ 1  │ 0  │ 0  │0.3 │
╰─────┴────┴───────┴────┴────┴────┴────┴────┴────╯
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_1_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_2_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_3_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_4_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_5_inputframes\000000000.jpg
2023-10-19 10:48:03,992 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:48:03,992 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:48:04,059 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:48:04,059 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:48:04,109 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:48:04,109 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:48:04,175 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:48:04,175 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:48:04,259 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:48:04,259 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:48:04,342 - ControlNet - INFO - ControlNet Hooked - Time = 0.5237596035003662
  0%|                                                                                           | 0/50 [00:00<?, ?it/s]2023-10-19 10:48:04,833 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:48:04,893 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:48:04,959 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:48:05,023 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:48:05,085 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [01:08<00:00,  1.37s/it]
Animation frame: 4/500  ▊                                                            | 50/1662 [01:06<37:09,  1.38s/it]
Creating in-between cadence frame: 0; tween:0.25;
Creating in-between cadence frame: 1; tween:0.50;
Creating in-between cadence frame: 2; tween:0.75;
Creating in-between cadence frame: 3; tween:1.00;
Seed: -1
Prompt: neon lines, neon shapes, glow, neon circles, circular, circle, vibes, vibrant, stunningly beautiful, crisp, sleek, ultramodern, high contrast, cinematic, professional, shpere, circles a picture of a colorful flower on a black background, infinity glyph waves, redshift, neon ligh, avatar image, spinning, centered and symmetrical, the energy is released, stylised design, phasmophobia, girih, depth blur, interconnected, joytoy, looping
Neg Prompt: painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, nsfw, nude, ugly, words, text, asymmetric  text, logo, watermark, words, branding, word, dark, person, people, human, face  nsfw, nude
Optical flow redo is diffusing and warping using DIS Fine and seed 350301627 optical flow before generation.
╭─────┬────┬─────────┬────┬────┬────┬────┬────┬────╮
│Steps│CFG │ Denoise │Tr X│Tr Y│Tr Z│Ro X│Ro Y│Ro Z│
├─────┼────┼─────────┼────┼────┼────┼────┼────┼────┤
│ 50  │12.0│0.0019706│ 0  │ 0  │ 1  │ 0  │ 0  │0.3 │
╰─────┴────┴─────────┴────┴────┴────┴────┴────┴────╯
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_1_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_2_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_3_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_4_inputframes\000000000.jpg
Reading ControlNet *static* base frame at D:\_STABLE_DIFFUSION_LOCAL\Deforum_20231019104802_NYE_GLOW-HOOP\controlnet_5_inputframes\000000000.jpg
2023-10-19 10:49:14,283 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:49:14,283 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:49:14,349 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:49:14,349 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:49:14,400 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:49:14,400 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:49:14,462 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:49:14,462 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:49:14,516 - ControlNet - INFO - Loading preprocessor: reference_only
2023-10-19 10:49:14,516 - ControlNet - INFO - preprocessor resolution = 64
2023-10-19 10:49:14,606 - ControlNet - INFO - ControlNet Hooked - Time = 0.5057604312896729
  0%|                                                                                            | 0/1 [00:00<?, ?it/s]2023-10-19 10:49:14,854 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:49:14,919 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:49:14,983 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:49:15,046 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
2023-10-19 10:49:15,109 - ControlNet - INFO - ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 64, 64]).
  0%|                                                                                            | 0/1 [00:01<?, ?it/s]
WARNING:deforum_helpers.opts_overrider:Error during batch execution: <class 'UnboundLocalError'> - local variable 'h' referenced before assignment

*START OF TRACEBACK*
Traceback (most recent call last):
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\run_deforum.py", line 116, in run_deforum
    render_animation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\render.py", line 550, in render_animation
    disposable_image = generate(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame_idx, sampler_name=scheduled_sampler_name)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 80, in generate
    image, caught_vae_exception = generate_with_nans_check(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame, sampler_name)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 114, in generate_with_nans_check
    raise e
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 108, in generate_with_nans_check
    image = generate_inner(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame, sampler_name)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 283, in generate_inner
    processed = processing.process_images(p)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\processing.py", line 732, in process_images
    res = process_images_inner(p)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\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:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\processing.py", line 867, 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:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 451, in process_sample
    return process.sample_before_CN_hack(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\processing.py", line 1528, in sample
    samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_samplers_kdiffusion.py", line 188, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_samplers_common.py", line 261, in launch_sampling
    return func()
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_samplers_kdiffusion.py", line 188, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\repositories\k-diffusion\k_diffusion\sampling.py", line 701, in sample_dpmpp_3m_sde
    h_1, h_2 = h, h_1
UnboundLocalError: local variable 'h' referenced before assignment
*END OF TRACEBACK*

User friendly error message:
Error: local variable 'h' referenced before assignment. Please, check your schedules/ init values.
Deforum progress:   3%|█▉                                                            | 51/1662 [01:09<36:45,  1.37s/it]

Additional information

No response

[nicholasVANDAL]

disabling the color coherance Optical flow cadence and Optical flow generation seemed to make it work.

~edit: nope interuppted that one that did work and started aother one with no changed and got the local variable 'h' error again.
it made 24 frames (with cadence set to 4) before throwing the error

[nicholasVANDAL]

getting the same error when i disable all controlnets too.

[nicholasVANDAL]

The next run after getting this error above
I tend to get this error next until I restart.

WARNING:deforum_helpers.opts_overrider:Error during batch execution: <class 'TypeError'> - 'NoneType' object is not iterable

*START OF TRACEBACK*
Traceback (most recent call last):
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 855, in forward_webui
    return forward(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 473, in forward
    for param in outer.control_params:
TypeError: 'NoneType' object is not iterable

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\run_deforum.py", line 116, in run_deforum
    render_animation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\render.py", line 566, in render_animation
    disposable_image = generate(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame_idx, sampler_name=scheduled_sampler_name)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 80, in generate
    image, caught_vae_exception = generate_with_nans_check(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame, sampler_name)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 114, in generate_with_nans_check
    raise e
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 108, in generate_with_nans_check
    image = generate_inner(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame, sampler_name)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 283, in generate_inner
    processed = processing.process_images(p)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\processing.py", line 732, in process_images
    res = process_images_inner(p)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\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:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\processing.py", line 867, 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:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 451, in process_sample
    return process.sample_before_CN_hack(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\processing.py", line 1528, in sample
    samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_samplers_kdiffusion.py", line 188, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_samplers_common.py", line 261, in launch_sampling
    return func()
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_samplers_kdiffusion.py", line 188, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\repositories\k-diffusion\k_diffusion\sampling.py", line 626, in sample_dpmpp_2m_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_samplers_cfg_denoiser.py", line 188, in forward
    x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(c_crossattn, image_cond_in[a:b]))
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\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 "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_models_xl.py", line 37, in apply_model
    return self.model(x, t, cond)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\repositories\generative-models\sgm\modules\diffusionmodules\wrappers.py", line 28, in forward
    return self.diffusion_model(
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 858, in forward_webui
    raise e
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 855, in forward_webui
    return forward(*args, **kwargs)
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 733, in forward
    outer.original_forward(
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 857, in forward_webui
    move_all_control_model_to_cpu()
  File "C:\Users\va-ai.render\stable-diffusion-webui-sdxl\extensions\sd-webui-controlnet\scripts\hook.py", line 846, in move_all_control_model_to_cpu
    for param in getattr(outer, 'control_params', []):
TypeError: 'NoneType' object is not iterable
*END OF TRACEBACK*

User friendly error message:
Error: 'NoneType' object is not iterable. Please, check your schedules/ init values.