TypeError: 'NoneType' object is not iterable

[bbggkk]

A1111 forge newest version. When generate,cmd bord shows this:

token_merging_ratio = 0.2 [Layer Diffusion] LayerMethod.FG_ONLY_ATTN To load target model SDXL Begin to load 1 model Reuse 1 loaded models [Memory Management] Current Free GPU Memory (MB) = 20344.2802734375 [Memory Management] Model Memory (MB) = 4210.9375 [Memory Management] Minimal Inference Memory (MB) = 1024.0 [Memory Management] Estimated Remaining GPU Memory (MB) = 15109.3427734375 Moving model(s) has taken 0.71 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 41/41 [00:07<00:00, 5.58it/s] To load target model AutoencoderKL5it/s] Begin to load 1 model Reuse 1 loaded models [Memory Management] Current Free GPU Memory (MB) = 16109.3330078125 [Memory Management] Model Memory (MB) = 0.0 [Memory Management] Minimal Inference Memory (MB) = 1024.0 [Memory Management] Estimated Remaining GPU Memory (MB) = 15085.3330078125 Moving model(s) has taken 0.01 seconds 0%| | 0/8 [00:00<?, ?it/s] Traceback (most recent call last): File "H:\webui_forge_cu121_torch21\webui\modules_forge\main_thread.py", line 37, in loop task.work() File "H:\webui_forge_cu121_torch21\webui\modules_forge\main_thread.py", line 26, in work self.result = self.func(*self.args, **self.kwargs) File "H:\webui_forge_cu121_torch21\webui\modules\txt2img.py", line 111, in txt2img_function processed = processing.process_images(p) File "H:\webui_forge_cu121_torch21\webui\modules\processing.py", line 752, in process_images res = process_images_inner(p) File "H:\webui_forge_cu121_torch21\webui\modules\processing.py", line 936, in process_images_inner x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True) File "H:\webui_forge_cu121_torch21\webui\modules\processing.py", line 638, in decode_latent_batch sample = decode_first_stage(model, batch[i:i + 1])[0] File "H:\webui_forge_cu121_torch21\webui\modules\sd_samplers_common.py", line 74, in decode_first_stage return samples_to_images_tensor(x, approx_index, model) File "H:\webui_forge_cu121_torch21\webui\modules\sd_samplers_common.py", line 57, in samples_to_images_tensor x_sample = model.decode_first_stage(sample) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "H:\webui_forge_cu121_torch21\webui\modules_forge\forge_loader.py", line 239, in patched_decode_first_stage sample = sd_model.forge_objects.vae.decode(sample).movedim(-1, 1) * 2.0 - 1.0 File "H:\webui_forge_cu121_torch21\webui\ldm_patched\modules\sd.py", line 288, in decode return wrapper(self.decode_inner, samples_in) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "H:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffusion\lib_layerdiffusion\models.py", line 249, in wrapper y = self.estimate_augmented(pixel, latent) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "H:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffusion\lib_layerdiffusion\models.py", line 224, in estimate_augmented eps = self.estimate_single_pass(feed_pixel, feed_latent).clip(0, 1) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "H:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffusion\lib_layerdiffusion\models.py", line 202, in estimate_single_pass y = self.model.model(pixel, latent) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "H:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffusion\lib_layerdiffusion\models.py", line 174, in forward sample = upsample_block(sample, res_samples, emb) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "H:\webui_forge_cu121_torch21\system\python\lib\site-packages\diffusers\models\unet_2d_blocks.py", line 2181, in forward hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 32 but got size 31 for tensor number 1 in the list. Sizes of tensors must match except in dimension 1. Expected size 32 but got size 31 for tensor number 1 in the list. *** Error completing request *** Arguments: ('task(3sjzin41rxzjll2)', <gradio.routes.Request object at 0x000001F098EE0850>, 'score_9,score_8_up,score_7_up,best quality,masterpiece,4k,uncensored,prefect lighting,anime BREAK\nlora:KakudateKarinPonyXL:1,kkba,halo,very long hair,gradient hair BREAK ', 'source_comic,source_furry,source_pony,sketch,painting,monochrome,jpeg artifacts,extra digit,fewer digits,unaestheticXL2v10,', [], 41, 'Euler a', 1, 1, 7, 984, 552, False, 0.26, 2, '4x-AnimeSharp', 6, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, False, False, 'base', 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, 'FredZhang7/anime-anything-promptgen-v2', '', True, 'Only Generate Transparent Image (Attention Injection)', 1, 1, None, None, None, 'Crop and Resize', False, 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=512, 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=512, 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=512, 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=512, 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, 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 "H:\webui_forge_cu121_torch21\webui\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) TypeError: 'NoneType' object is not iterable

In issue, i noticed the same error 'NoneType' about Higher batch size. And that error can still generate images,mine just nothing but this.

[LiJT]

This is for Forge not A1111

[bbggkk]

This is for Forge not A1111

I mean in forge,it shows this error. Installing path shows the detail information.

[Miss2b]

Hey I had a very similar problem like this in Forge, realized it was because my resolutions didn't match certain sizes, try generating at 896x1152

[bbggkk]

Hey I had a very similar problem like this in Forge, realized it was because my resolutions didn't match certain sizes, try generating at 896x1152

Not working,and become more strange.

[scarbain]

I often have this error in forge when using batch size > 1 or when using fooocus inpainting. Don't know if it's correlated.

[bbggkk]

I often have this error in forge when using batch size > 1 or when using fooocus inpainting. Don't know if it's correlated.

Ass you can see, all defaut settings, batch size 1, im so confused

[new-sankaku]

I had the same issue.
In my environment, an error occurs for most sizes.

success
512×512
896×896
failure
944×944
912×912
920×920
1104×1104

The error is also below.
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 36 but got size 35 for tensor number 1 in the list. Sizes of tensors must match except in dimension 1. Expected size 36 but got size 35 for tensor number 1 in the list.

I put the log before the error.

The log is below.
I understood that it was a problem with the size of the tensor, but I was unable to analyze it further.

I'll contact you if I find out anything else.

[new-sankaku]

The following sizes were successful.
success
256×256
512×512
768×768
896×896
1024×1024
1280×1280
896×1280
1408×1408

If I make the image size a multiple of 128, it works fine.

[bbggkk]

The following sizes were successful. success 256×256 512×512 768×768 896×896 1024×1024 1280×1280 896×1280 1408×1408

If I make the image size a multiple of 128, it works fine.

Thanks,much appreciate, I found resolution was one of the reasons. If add one more lora,or add embeddings,such as bad prompt,transparent layer will not work,and images will turn into strange color.

[Hellisotherpeople]

For me, this was due to me having "batch size" above 1.

[FutonGama]

it was resolution for me but when i tried 1536x1536 worked

[yincangshiwei]

The following sizes were successful. success 256×256 512×512 768×768 896×896 1024×1024 1280×1280 896×1280 1408×1408

If I make the image size a multiple of 128, it works fine.

[cumtcx]

The following sizes were successful. success 256×256 512×512 768×768 896×896 1024×1024 1280×1280 896×1280 1408×1408 If I make the image size a multiple of 128, it works fine.

[GeminiSquishGames]

If the multiple of 128 in the resolution is a standard, why is this fact not in the README?