Closed LastTargaryen closed 7 months ago
2blackbar
commented
7 months ago This bug also happens when i use original controlnet extension (not builtin - i removed this one) and when i use ipadapter plus to copy style then it throws out this non iterable error. But in builtin controlnet ipadapter, when i want to use ipadapter 15 plus - it gives me black screen, no matter what preprocessor.
Dawgmastah
commented
7 months ago I can confirm I sometimes get 'NoneType' object is not iterable a random, needing a restart of the webui, usually when playing around with controlnet but I have not narrowed down the exact cause
saunderez
commented
7 months ago Self Attention Guidance triggers it pretty much 100% of the time for me now. It was working at some point but in the middle of a batch I started getting the NoneType errors and even after a restart which reloaded my settings it persisted until I disabled Self Attention Guidance.
ikoseu
commented
7 months ago I have this error when i try to gen images that I previously genned before with a1111
inglob
commented
7 months ago Same issue when i try to use ControlNet with SDXL models
Vigilence
commented
7 months ago I get this issue as well.
I use base xl model with control net tile_resample and an xl model.
catboxanon
commented
7 months ago The issue description in OP contains no reference to a NoneType error. Including it only in the title with no traceback is not helpful for developers. Please create a single issue for each problem you're coming across, not multiple.
Showbizch
commented
7 months ago Same issue when i try to use ControlNet with SDXL models
Yeah, I have this Issue only with ControlNet and SDXL
CCpt5
commented
7 months ago Getting this also now - both w/ Animatediff and Modelmixer. Breaks the session.
CCpt5
commented
7 months ago I don't have time to create a full thread on this, but here's an example of my current console. Perhaps related to the memory changes in recent commits (But that's just a guess) @lllyasviel
[Memory Management] Current Free GPU Memory (MB) = 21161.912109375
[Memory Management] Model Memory (MB) = 1903.1046981811523
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 18234.807411193848
Moving model(s) has taken 0.27 seconds
Model loaded in 2.0s (forge solving config: 0.2s, forge load real models: 1.4s, calculate empty prompt: 0.3s).
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 13 images in a total of 13 batches.
To load target model SDXL
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 19391.89306640625
[Memory Management] Model Memory (MB) = 4897.086494445801
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 13470.80657196045
Moving model(s) has taken 0.73 seconds
0%| | 0/5 [00:00<?, ?it/s]
Traceback (most recent call last):
File "D:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "D:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "D:\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "D:\stable-diffusion-webui-forge\modules\processing.py", line 751, in process_images
res = process_images_inner(p)
File "D:\stable-diffusion-webui-forge\modules\processing.py", line 920, 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 "D:\stable-diffusion-webui-forge\modules\processing.py", line 1272, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "D:\stable-diffusion-webui-forge\modules\sd_samplers_kdiffusion.py", line 251, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "D:\stable-diffusion-webui-forge\modules\sd_samplers_common.py", line 263, in launch_sampling
return func()
File "D:\stable-diffusion-webui-forge\modules\sd_samplers_kdiffusion.py", line 251, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\repositories\k-diffusion\k_diffusion\sampling.py", line 594, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\modules\sd_samplers_cfg_denoiser.py", line 182, in forward
denoised = forge_sampler.forge_sample(self, denoiser_params=denoiser_params,
File "D:\stable-diffusion-webui-forge\modules_forge\forge_sampler.py", line 83, in forge_sample
denoised = sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options, seed)
File "D:\stable-diffusion-webui-forge\ldm_patched\modules\samplers.py", line 289, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond_, x, timestep, model_options)
File "D:\stable-diffusion-webui-forge\ldm_patched\modules\samplers.py", line 258, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\stable-diffusion-webui-forge\ldm_patched\modules\model_base.py", line 90, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\ldm_patched\ldm\modules\diffusionmodules\openaimodel.py", line 849, in forward
assert (y is not None) == (
AssertionError: must specify y if and only if the model is class-conditional
must specify y if and only if the model is class-conditional
*** Error completing request
*** Arguments: ('task(a9ev94s5sxhmgzf)', <gradio.routes.Request object at 0x000002374F023010>, 'topnotch artstyle, filmstyle, __prompt__ ', '', [], 5, 'DPM++ 2M Karras', 13, 1, 2.5, 1048, 944, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', <scripts.animatediff_ui.AnimateDiffProcess object at 0x000002374F021BA0>, False, 0.6, 0.9, 0.25, 1, True, False, True, 'SDXL\\sdxl_lightning_4step.safetensors [e0d996ee00]', 'None', 3, '', {'save_settings': ['fp16', 'prune', 'safetensors'], 'calc_settings': ['GPU']}, True, True, False, 'SDXL\\2024-02-19 - OT - New-Topnotch Kosmo2 Captioned.safetensors [b8663dd046]', 'SDXL\\2024-02-20 - OT - Shotdeck-3k on SDXL Base.safetensors [18491229de]', 'None', 'Sum', 'Sum', 'Sum', 0.5, 0.5, 0.5, True, True, True, [], [], [], [], [], [], '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', False, False, False, '', '', '', 'Normal', 'Normal', 'Normal', ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "D:\stable-diffusion-webui-forge\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
TypeError: 'NoneType' object is not iterableRolled back a bit - always get it w/ AnimateDiff right now...
Anyway, I'll try to do a new thread in the morning if I can narrow it down to something that seems universal. Very late for me here now.
/Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
2024-02-25 23:43:14,248 - AnimateDiff - INFO - Injecting LCM to UI.
Loading weights [e0d996ee00] from E:\Stable Diffusion Checkpoints\SDXL\sdxl_lightning_4step.safetensors
model_type EPS
UNet ADM Dimension 2816
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
Loading VAE weights specified in settings: D:\stable-diffusion-webui-forge\models\VAE\sdxl_vae.safetensors
To load target model SDXLClipModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 23007.99609375
[Memory Management] Model Memory (MB) = 2144.3546981811523
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 19839.641395568848
Moving model(s) has taken 0.38 seconds
Model loaded in 3.6s (load weights from disk: 0.1s, forge load real models: 2.5s, load VAE: 0.1s, calculate empty prompt: 0.8s).
2024-02-25 23:43:18,632 - AnimateDiff - INFO - Hacking i2i-batch.
2024-02-25 23:43:18,747 - ControlNet - INFO - ControlNet UI callback registered.
Running on local URL: http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 34.3s (prepare environment: 14.4s, import torch: 3.9s, import gradio: 0.8s, setup paths: 0.8s, other imports: 0.6s, list SD models: 0.4s, load scripts: 6.4s, refresh VAE: 0.2s, create ui: 5.7s, gradio launch: 0.4s, app_started_callback: 0.4s).
*** Error running process: D:\stable-diffusion-webui-forge\extensions\sd-dynamic-prompts\scripts\dynamic_prompting.py
Traceback (most recent call last):
File "D:\stable-diffusion-webui-forge\modules\scripts.py", line 803, in process
script.process(p, *script_args)
File "D:\stable-diffusion-webui-forge\extensions\sd-dynamic-prompts\sd_dynamic_prompts\dynamic_prompting.py", line 481, in process
all_prompts, all_negative_prompts = generate_prompts(
File "D:\stable-diffusion-webui-forge\extensions\sd-dynamic-prompts\sd_dynamic_prompts\helpers.py", line 93, in generate_prompts
all_prompts = prompt_generator.generate(prompt, num_prompts, seeds=seeds) or [""]
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\dynamicprompts\generators\randomprompt.py", line 71, in generate
prompts.append(str(next(iter(gen))))
StopIteration
---
To load target model SDXL
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 21160.61767578125
[Memory Management] Model Memory (MB) = 4897.086494445801
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 15239.53118133545
Moving model(s) has taken 0.99 seconds
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 18.64it/s]
To load target model AutoencoderKL███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 24.65it/s]
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 16154.17919921875
[Memory Management] Model Memory (MB) = 159.55708122253418
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 14970.622117996216
Moving model(s) has taken 0.03 seconds
Total progress: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 17.77it/s]
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 11 images in a total of 11 batches.██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 24.65it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 7.31it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 8.10it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 8.24it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 8.14it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 7.96it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 8.13it/s]
Total progress: 55%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 18/33 [00:04<00:04, 3.73it/s]
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 11 images in a total of 11 batches.██████████████████████████████████████████▎ | 18/33 [00:04<00:03, 4.33it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 6.46it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 6.58it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 7.03it/s]
Total progress: 27%|██████████████████████████████████████████████████████████████▍ | 9/33 [00:02<00:07, 3.37it/s]
2024-02-25 23:45:18,377 - ControlNet - INFO - ControlNet Input Mode: InputMode.SIMPLE | 9/33 [00:02<00:05, 4.12it/s]
2024-02-25 23:45:18,378 - ControlNet - INFO - Using preprocessor: canny
2024-02-25 23:45:18,379 - ControlNet - INFO - preprocessor resolution = 512
2024-02-25 23:45:18,711 - ControlNet - INFO - Current ControlNet ControlNetPatcher: D:\stable-diffusion-webui-forge\models\ControlNet\control-lora-canny-rank128.safetensors
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 11 images in a total of 11 batches.
2024-02-25 23:45:18,763 - ControlNet - INFO - ControlNet Method canny patched.
To load target model SDXL
Begin to load 1 model
Reuse 1 loaded models
[Memory Management] Current Free GPU Memory (MB) = 15975.154296875
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 14951.154296875
Moving model(s) has taken 0.02 seconds
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 6.18it/s]
2024-02-25 23:45:20,853 - ControlNet - INFO - ControlNet Method canny patched. | 2/33 [00:00<00:01, 16.05it/s]
To load target model SDXL
Begin to load 1 model
Reuse 1 loaded models
[Memory Management] Current Free GPU Memory (MB) = 15974.09814453125
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 14950.09814453125
Moving model(s) has taken 0.02 seconds
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 6.76it/s]
2024-02-25 23:45:21,927 - ControlNet - INFO - ControlNet Method canny patched. | 6/33 [00:01<00:05, 4.64it/s]
To load target model SDXL
Begin to load 1 model
Reuse 1 loaded models
[Memory Management] Current Free GPU Memory (MB) = 15973.259765625
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 14949.259765625
Moving model(s) has taken 0.02 seconds
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 6.45it/s]
2024-02-25 23:45:23,014 - ControlNet - INFO - ControlNet Method canny patched.█████▍ | 9/33 [00:02<00:06, 3.77it/s]
To load target model SDXL
Begin to load 1 model
Reuse 1 loaded models
[Memory Management] Current Free GPU Memory (MB) = 15972.42138671875
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 14948.42138671875
Moving model(s) has taken 0.02 seconds
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 6.74it/s]
Total progress: 36%|██████████████████████████████████████████████████████████████████████████████████▉ | 12/33 [00:04<00:07, 2.91it/s]
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 11 images in a total of 11 batches.▉ | 12/33 [00:04<00:05, 3.63it/s]
To load target model SDXL
Begin to load 1 model
Reuse 1 loaded models
[Memory Management] Current Free GPU Memory (MB) = 15971.80078125
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 14947.80078125
Moving model(s) has taken 0.02 seconds
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 7.73it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 8.04it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 8.12it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 7.96it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 7.56it/s]
Total progress: 45%|███████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 15/33 [00:04<00:04, 3.67it/s]
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001e520a81500] moov atom not found████████████████████████████████████████████████████████████▋ | 15/33 [00:04<00:03, 4.50it/s]
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001e520a81500] moov atom not found
2024-02-25 23:46:13,855 - AnimateDiff - INFO - AnimateDiff process start.
2024-02-25 23:46:13,855 - AnimateDiff - INFO - Loading motion module animatediffMotion_sdxlV10Beta.ckpt from D:\stable-diffusion-webui-forge\extensions\sd-webui-animatediff\model\animatediffMotion_sdxlV10Beta.ckpt
2024-02-25 23:46:14,134 - AnimateDiff - INFO - Guessed animatediffMotion_sdxlV10Beta.ckpt architecture: MotionModuleType.AnimateDiffXL
2024-02-25 23:46:14,795 - AnimateDiff - WARNING - Missing keys <All keys matched successfully>
2024-02-25 23:46:14,930 - AnimateDiff - INFO - Injecting motion module animatediffMotion_sdxlV10Beta.ckpt into SDXL UNet input blocks.
2024-02-25 23:46:14,930 - AnimateDiff - INFO - Injecting motion module animatediffMotion_sdxlV10Beta.ckpt into SDXL UNet output blocks.
2024-02-25 23:46:14,932 - AnimateDiff - INFO - Setting DDIM alpha.
2024-02-25 23:46:14,940 - AnimateDiff - INFO - Injection finished.
2024-02-25 23:46:14,946 - AnimateDiff - INFO - Hacking CFGDenoiser forward function.
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 17215 images in a total of 11 batches.
Memory cleanup has taken 0.55 seconds
0%| | 0/3 [00:00<?, ?it/s]
Traceback (most recent call last):
File "D:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "D:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "D:\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "D:\stable-diffusion-webui-forge\modules\processing.py", line 751, in process_images
res = process_images_inner(p)
File "D:\stable-diffusion-webui-forge\modules\processing.py", line 920, 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 "D:\stable-diffusion-webui-forge\modules\processing.py", line 1272, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "D:\stable-diffusion-webui-forge\modules\sd_samplers_kdiffusion.py", line 251, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "D:\stable-diffusion-webui-forge\modules\sd_samplers_common.py", line 263, in launch_sampling
return func()
File "D:\stable-diffusion-webui-forge\modules\sd_samplers_kdiffusion.py", line 251, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\repositories\k-diffusion\k_diffusion\sampling.py", line 594, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\stable-diffusion-webui-forge\extensions\sd-webui-animatediff\scripts\animatediff_infv2v.py", line 174, in mm_cfg_forward
if sd_samplers_common.apply_refiner(self):
TypeError: apply_refiner() missing 1 required positional argument: 'x'
apply_refiner() missing 1 required positional argument: 'x'
*** Error completing request
*** Arguments: ('task(g31sfmvrutr2ir3)', <gradio.routes.Request object at 0x000001E6C86D20E0>, '__prompt__ ', '', [], 3, 'DPM++ 2M Karras', 11, 1, 1.5, 1000, 912, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', <scripts.animatediff_ui.AnimateDiffProcess object at 0x000001E6C864C970>, False, 0.6, 0.9, 0.25, 1, True, False, False, 'SDXL\\sdxl_lightning_4step.safetensors [e0d996ee00]', 'None', 3, '', {'save_settings': ['fp16', 'prune', 'safetensors'], 'calc_settings': ['GPU', 'fastrebasin']}, True, False, False, 'None', 'None', 'None', 'Sum', 'Sum', 'Sum', 0.5, 0.5, 0.5, True, True, True, [], [], [], [], [], [], '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', '0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', False, False, False, '', '', '', 'Normal', 'Normal', 'Normal', ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='canny', model='control-lora-canny-rank128 [c910cde9]', weight=1, image=None, resize_mode='Crop and Resize', processor_res=512, threshold_a=100, threshold_b=200, guidance_start=0, guidance_end=0.57, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "D:\stable-diffusion-webui-forge\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
TypeError: 'NoneType' object is not iterable
ScionoicS
commented
7 months ago Am catching this error randomly when using animatediff with ip-adapter. it'll happen seemingly at random from my pov. No settings changed, Generations worked great and then randomly it just throws this error and the whole UI needs restarting
abctuba
commented
7 months ago I too am getting this error when using integrated controlnet and SDXL models.
CCpt5
commented
7 months ago I too am getting this error when using integrated controlnet and SDXL models.
Not sure if this we'll work in that case, but try refreshing the checkpoint list in the quickbar (top left) and see if that lets you generate. It works as a temporary workaround for my situation (get that error using the Model Mixer merging extension).
Hoping for a proper fix.
blacklig
commented
7 months ago same here.. ipadapter.. that is sad that creators of controlnet cannot get this properly done
abctuba
commented
7 months ago I too am getting this error when using integrated controlnet and SDXL models.
Not sure if this we'll work in that case, but try refreshing the checkpoint list in the quickbar (top left) and see if that lets you generate. It works as a temporary workaround for my situation (get that error using the Model Mixer merging extension).
Hoping for a proper fix.
Thanks. It didn't help, but I appreciate the suggestion.
abctuba
commented
7 months ago same here.. ipadapter.. that is sad that creators of controlnet cannot get this properly done
I try not to brow beat the devs, they are working for free afterall.
I did notice this issue is closed, perhaps they are not watching anymore.
blacklig
commented
7 months ago OK, I found solution - I was ussing different preprocessor for IP adapter.. and Illiasveil (sorry for misformulation of name) published recently proper list of what preprocessor for what IP adapter model.. once you have those two matching eatch other it works.. so I would suggest double check if preprocessors are matching models in case of such errors. it solved mine
abctuba
commented
7 months ago I opened another ticket with my console logs and it appears I am dumb of ass. Even thought I downloaded the SDXL Controlnet models, the UI defaulted to the SD15 ones and I didn't catch it. Try making sure you have SDXL Controlnet models selected.
blacklig
commented
7 months ago yeah... often those errors are caused by users, but would be nice if platform would be just able to catch those obvious mistakes and just inform in some human way :D
sabum6800
commented
6 months ago I had the same stuff happening when is used ControlNet in "Img2Img" instead of "Txt2Img". in txt2img its not giving you that error then (you have to try around if you havent like me used "depht" for example) when you have already the right composition, position whatever - then you can drag it there... All errors i´ve gotten like that i was shamefully pushing my hand into my face knowing the problem was me. Im using "Forge" btw.
Same with "Multiple Inputs" which is missing in forge... its even written that its deactivated on purpose... you have to open many units and put 1 pic after another in a new unit and have the same result but much worse... dunno what went through his head doing it like that.... (in setting btw. searching there for "controlnet" you can make more then 3 "units" for more pics for faceid for example)
somehow everything seems a bit unintuitive for me.
DarksealStudios
commented
6 months ago Trying to use gif2gif, TypeError: 'NoneType' object is not iterable
MohammadAboulEla
commented
6 months ago +1
Ehtz
commented
6 months ago Self Attention Guidance
Same
LastTargaryen
commented
6 months ago Another one!
charliemagee
commented
6 months ago I got this error to go away by turning off ADetailer.
IAFFeng
commented
5 months ago After changing the sampling method, the output can be successfully performed.
yano
commented
5 months ago In my case I was using sd15 controlnet model by mistake, I changed to sdxl controlnet model and the error disappeared. https://huggingface.co/lllyasviel/sd_control_collection/tree/main?_fsi=BRszZhff
tanangular
commented
5 months ago I often encounter this problem when I enable HyperTile, if I turn it off it works (SDwebforge)
CasualDev242
commented
5 months ago I get this randomly every few image generations, regardless of controlnet usage.
LadyFlames
commented
4 months ago i get the same Error randomly as well like every 2-5 images generated (SDForge) with or without control net and with and without any other integrated extensions Still the cause could be anything Really could be out of memory Error or it could even be Heavily outdated Reguirements or it could be Gradio Error or even a Module Error just saying that anything is a possibility if you want my personal opinion then its most likely outdated reguirements error because forge uses Gradio Version 3.4 and the current/Latest version of Gradio is 4.3 but that just my own personal opinion and i havent tried manually updating the requirements if that fixes it cause if i do that it might break the WebUI entirely
Greatlovers
commented
4 months ago I meet this problem ,too.Does anyone have a better solution？I have to reload webui or change my upscale script to deal with it——but it does't help often.
surecenga
commented
3 months ago i'm getting this error every time i change lora or lore weight
LadyFlames
commented
3 months ago i havent Found any solutions i still get the same error
LadyFlames
commented
3 months ago File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, self.kwargs)
File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules\processing.py", line 752, in process_images
res = process_images_inner(p)
File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules\processing.py", line 922, 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 "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules\processing.py", line 1275, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules\sd_samplers_kdiffusion.py", line 251, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))
File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules\sd_samplers_common.py", line 263, in launch_sampling
return func()
File "D:\Stability Matrix\Packages\Stable Diffusion WebUI Forge\modules\sd_samplers_kdiffusion.py", line 251, in
MoTangModel
commented
3 months ago If you get this error and then try to reopen it and try to make the same error, maybe this operation may help you
Hi, thanks for the heads up, but I'm having a rather serious issue that I can't seem to get past. For context: Windows 11; Nvidia A2000 12GB VRAM; 64GB RAM; 5 TB SSD; CUDA 12.3 Triton 2.0 windows python 3 wheel xformers; newest stable or newest pre-release (both present with identical issue I'm about to go into) torch 2.2.0+cu121
I have been having trouble with 'forge' since it came out. I've gotten a couple very wonderfully-fast generations out of it--so, so cool, I'm very grateful that you work so diligently to make this so much more optimized. It's like when a family member spends all day cooking when you're outside playing, you go back in and it's like "woah"--that is to say, you do this work with love! Thank you!
But can you PUHLEEEEEZE tell me what the heck I'm doing wrong? Never have had this sort of issue before using forge (as in, this is really my first REAL problem.)
Also: what's with token merging being "under construction"? :( anyway this is what I'm getting at:
Launching Web UI with arguments: --no-hashing --enable-insecure-extension-access --disable-safe-unpickle --xformers Total VRAM 12282 MB, total RAM 65174 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA RTX A2000 12GB : native VAE dtype: torch.bfloat16 Using pytorch cross attention * Cannot import xformers Traceback (most recent call last): File "Q:\SD\stable-diffusion-webui-forge\modules\sd_hijack_optimizations.py", line 160, in
import xformers.ops
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops__init__.py", line 26, in
from .modpar_layers import ColumnParallelLinear, RowParallelLinear
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops\modpar_layers.py", line 15, in
from .seqpar import sequence_parallel_leading_matmul, sequence_parallel_trailing_matmul
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops\seqpar.py", line 18, in
from .sequence_parallel_fused_ops import (
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops\sequence_parallel_fused_ops.py", line 21, in
from ._triton.sequence_parallel_fused_kernels import (
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops_triton\sequence_parallel_fused_kernels.py", line 403, in
def _xformers_seqpar_matmul_kernel(
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\triton\runtime\jit.py", line 389, in decorator
return JITFunction(fn, kwargs)
TypeError: JITFunction.init() got an unexpected keyword argument 'debug'
* Error loading script: preprocessor_marigold.py Traceback (most recent call last): File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\diffusers\utils\import_utils.py", line 710, in _get_module return importlib.import_module("." + module_name, self.name) File "Q:\Anaconda3\envs\forge\lib\importlib__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1050, in _gcd_import
File "", line 1027, in _find_and_load
File "", line 1006, in _find_and_load_unlocked
File "", line 688, in _load_unlocked
File "", line 883, in exec_module
File "", line 241, in _call_with_frames_removed
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\diffusers\loaders\unet.py", line 27, in
from ..models.embeddings import ImageProjection, MLPProjection, Resampler
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\diffusers\models\embeddings.py", line 23, in
from .attention_processor import Attention
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\diffusers\models\attention_processor.py", line 32, in
import xformers.ops
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops__init__.py", line 26, in
from .modpar_layers import ColumnParallelLinear, RowParallelLinear
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops\modpar_layers.py", line 15, in
from .seqpar import sequence_parallel_leading_matmul, sequence_parallel_trailing_matmul
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops\seqpar.py", line 18, in
from .sequence_parallel_fused_ops import (
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops\sequence_parallel_fused_ops.py", line 21, in
from ._triton.sequence_parallel_fused_kernels import (
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\xformers\ops_triton\sequence_parallel_fused_kernels.py", line 403, in
def _xformers_seqpar_matmul_kernel(
File "Q:\SD\stable-diffusion-webui-forge\venv\lib\site-packages\triton\runtime\jit.py", line 389, in decorator
return JITFunction(fn, kwargs)
TypeError: JITFunction.init() got an unexpected keyword argument 'debug'
Originally posted by @LastTargaryen in https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/166#discussioncomment-8426325