alvi-alvarez / sd-img2img-batch-interrogator Goto Github PK

To create a public link, set share=True in launch().
Startup time: 12.7s (prepare environment: 0.6s, import torch: 1.7s, import gradio: 0.5s, setup paths: 0.3s, initialize shared: 0.1s, other imports: 0.3s, list SD models: 0.2s, load scripts: 4.4s, refresh VAE: 0.1s, create ui: 3.8s, gradio launch: 0.3s, app_started_callback: 0.3s).

img2img:
load checkpoint from D:\stable-diffusion-webui\models\BLIP\model_base_caption_capfilt_large.pth
100%|████████████████████████████████████████| 890M/890M [00:07<00:00, 128MiB/s]
*** Error interrogating
Traceback (most recent call last):
File "D:\stable-diffusion-webui\modules\interrogate.py", line 194, in interrogate
caption = self.generate_caption(pil_image)
File "D:\stable-diffusion-webui\modules\interrogate.py", line 174, in generate_caption
gpu_image = transforms.Compose([
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py", line 95, in call
img = t(img)
File "D:\stable-diffusion-webui\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\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in call_impl
return forward_call(*args, **kwargs)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py", line 277, in forward
return F.normalize(tensor, self.mean, self.std, self.inplace)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py", line 363, in normalize
return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms_functional_tensor.py", line 928, in normalize
return tensor.sub(mean).div(std)
RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0

Prompt:
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [00:05<00:00, 4.81it/s]

img2img:
*** Error interrogating
Traceback (most recent call last):
File "D:\stable-diffusion-webui\modules\interrogate.py", line 194, in interrogate
caption = self.generate_caption(pil_image)
File "D:\stable-diffusion-webui\modules\interrogate.py", line 174, in generate_caption
gpu_image = transforms.Compose([
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py", line 95, in call
img = t(img)
File "D:\stable-diffusion-webui\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\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in call_impl
return forward_call(*args, **kwargs)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py", line 277, in forward
return F.normalize(tensor, self.mean, self.std, self.inplace)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py", line 363, in normalize
return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms_functional_tensor.py", line 928, in normalize
return tensor.sub(mean).div(std)
RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0

Prompt:
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [00:04<00:00, 5.23it/s]

img2img:
Prompt: 1boy, 3d, backwards hat, baseball cap, beard, blurry, blurry background, blurry foreground, building, depth of field, dog tags, facial hair, hat, jewelry, male focus, mustache, necklace, photo (medium), photo background, realistic, shirt, solo, upper body
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [00:04<00:00, 5.20it/s]

img2img:
*** Error interrogating
Traceback (most recent call last):
File "D:\stable-diffusion-webui\modules\interrogate.py", line 194, in interrogate
caption = self.generate_caption(pil_image)
File "D:\stable-diffusion-webui\modules\interrogate.py", line 174, in generate_caption
gpu_image = transforms.Compose([
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py", line 95, in call
img = t(img)
File "D:\stable-diffusion-webui\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\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in call_impl
return forward_call(*args, **kwargs)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py", line 277, in forward
return F.normalize(tensor, self.mean, self.std, self.inplace)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py", line 363, in normalize
return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)
File "D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms_functional_tensor.py", line 928, in normalize
return tensor.sub(mean).div(std)
RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0

Prompt:
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [00:04<00:00, 5.21it/s]

{
"Platform": "Windows-10-10.0.19045-SP0",
"Python": "3.10.6",
"Version": "v1.7.0",
"Commit": "cf2772fab0af5573da775e7437e6acdca424f26e",
"Script path": "D:\stable-diffusion-webui",
"Data path": "D:\stable-diffusion-webui",
"Extensions dir": "D:\stable-diffusion-webui\extensions",
"Checksum": "cd22ba34e2aba7a6f776fb21588a63f7979f4400d83326e96d820de28184664a",
"Commandline": [
"launch.py",
"--opt-sdp-attention",
"--no-half-vae",
"--opt-channelslast",
"--disable-safe-unpickle",
"--skip-torch-cuda-test",
"--disable-nan-check",
"--skip-version-check",
"--ckpt-dir",
"e:\stable Diffusion Checkpoints"
],
"Torch env info": {
"torch_version": "2.1.2+cu121",
"is_debug_build": "False",
"cuda_compiled_version": "12.1",
"gcc_version": null,
"clang_version": null,
"cmake_version": null,
"os": "Microsoft Windows 10 Pro",
"libc_version": "N/A",
"python_version": "3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] (64-bit runtime)",
"python_platform": "Windows-10-10.0.19045-SP0",
"is_cuda_available": "True",
"cuda_runtime_version": null,
"cuda_module_loading": "LAZY",
"nvidia_driver_version": "551.23",
"nvidia_gpu_models": "GPU 0: NVIDIA GeForce RTX 4090",
"cudnn_version": null,
"pip_version": "pip3",
"pip_packages": [
"numpy==1.23.5",
"open-clip-torch==2.20.0",
"pytorch-lightning==1.9.4",
"torch==2.1.2+cu121",
"torchdiffeq==0.2.3",
"torchmetrics==1.2.1",
"torchsde==0.2.6",
"torchvision==0.16.2+cu121"
],
"conda_packages": null,
"hip_compiled_version": "N/A",
"hip_runtime_version": "N/A",
"miopen_runtime_version": "N/A",
"caching_allocator_config": "",
"is_xnnpack_available": "True",
"cpu_info": [
"Architecture=9",
"CurrentClockSpeed=3200",
"DeviceID=CPU0",
"Family=207",
"L2CacheSize=16384",
"L2CacheSpeed=",
"Manufacturer=GenuineIntel",
"MaxClockSpeed=3200",
"Name=Intel(R) Core(TM) i9-14900K",
"ProcessorType=3",
"Revision="
]
},
"Exceptions": [
{
"exception": "The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0",
"traceback": [
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 194, interrogate",
"caption = self.generate_caption(pil_image)"
],
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 174, generate_caption",
"gpu_image = transforms.Compose(["
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 95, call",
"img = t(img)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1518, _wrapped_call_impl",
"return self._call_impl(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1527, call_impl",
"return forward_call(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 277, forward",
"return F.normalize(tensor, self.mean, self.std, self.inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py, line 363, normalize",
"return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional_tensor.py, line 928, normalize",
"return tensor.sub(mean).div(std)"
]
]
},
{
"exception": "The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0",
"traceback": [
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 194, interrogate",
"caption = self.generate_caption(pil_image)"
],
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 174, generate_caption",
"gpu_image = transforms.Compose(["
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 95, call",
"img = t(img)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1518, _wrapped_call_impl",
"return self._call_impl(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1527, call_impl",
"return forward_call(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 277, forward",
"return F.normalize(tensor, self.mean, self.std, self.inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py, line 363, normalize",
"return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional_tensor.py, line 928, normalize",
"return tensor.sub(mean).div(std)"
]
]
},
{
"exception": "The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0",
"traceback": [
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 194, interrogate",
"caption = self.generate_caption(pil_image)"
],
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 174, generate_caption",
"gpu_image = transforms.Compose(["
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 95, call",
"img = t(img)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1518, _wrapped_call_impl",
"return self._call_impl(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1527, call_impl",
"return forward_call(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 277, forward",
"return F.normalize(tensor, self.mean, self.std, self.inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py, line 363, normalize",
"return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional_tensor.py, line 928, normalize",
"return tensor.sub(mean).div(std)"
]
]
},
{
"exception": "The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0",
"traceback": [
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 194, interrogate",
"caption = self.generate_caption(pil_image)"
],
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 174, generate_caption",
"gpu_image = transforms.Compose(["
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 95, call",
"img = t(img)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1518, _wrapped_call_impl",
"return self._call_impl(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1527, call_impl",
"return forward_call(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 277, forward",
"return F.normalize(tensor, self.mean, self.std, self.inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py, line 363, normalize",
"return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional_tensor.py, line 928, normalize",
"return tensor.sub(mean).div(std)"
]
]
},
{
"exception": "The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0",
"traceback": [
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 194, interrogate",
"caption = self.generate_caption(pil_image)"
],
[
"D:\stable-diffusion-webui\modules\interrogate.py, line 174, generate_caption",
"gpu_image = transforms.Compose(["
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 95, call",
"img = t(img)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1518, _wrapped_call_impl",
"return self._call_impl(args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1527, call_impl",
"return forward_call(*args, **kwargs)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\transforms.py, line 277, forward",
"return F.normalize(tensor, self.mean, self.std, self.inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional.py, line 363, normalize",
"return F_t.normalize(tensor, mean=mean, std=std, inplace=inplace)"
],
[
"D:\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional_tensor.py, line 928, normalize",
"return tensor.sub(mean).div(std)"
]
]
}
],
"CPU": {
"model": "Intel64 Family 6 Model 183 Stepping 1, GenuineIntel",
"count logical": 32,
"count physical": 24
},
"RAM": {
"total": "64GB",
"used": "14GB",
"free": "50GB"
},
"Extensions": [
{
"name": "3sd-webui-controlnet",
"path": "D:\stable-diffusion-webui\extensions\3sd-webui-controlnet",
"version": "e081a3a0",
"branch": "main",
"remote": "https://github.com/Mikubill/sd-webui-controlnet.git"
},
{
"name": "a2-adetailer",
"path": "D:\stable-diffusion-webui\extensions\a2-adetailer",
"version": "a0b4c56e",
"branch": "main",
"remote": "https://github.com/Bing-su/adetailer.git"
},
{
"name": "b1111-sd-webui-tagcomplete",
"path": "D:\stable-diffusion-webui\extensions\b1111-sd-webui-tagcomplete",
"version": "08d3436f",
"branch": "main",
"remote": "https://github.com/DominikDoom/a1111-sd-webui-tagcomplete.git"
},
{
"name": "extension-style-vars",
"path": "D:\stable-diffusion-webui\extensions\extension-style-vars",
"version": "7e528995",
"branch": "master",
"remote": "https://github.com/SirVeggie/extension-style-vars"
},
{
"name": "sd-Img2img-batch-interrogator",
"path": "D:\stable-diffusion-webui\extensions\sd-Img2img-batch-interrogator",
"version": "7f4e4eb0",
"branch": "main",
"remote": "https://github.com/Alvi-alvarez/sd-Img2img-batch-interrogator.git"
},
{
"name": "sd-dynamic-prompts",
"path": "D:\stable-diffusion-webui\extensions\sd-dynamic-prompts",
"version": "284d3ef3",
"branch": "main",
"remote": "https://github.com/adieyal/sd-dynamic-prompts.git"
},
{
"name": "sd-extension-system-info",
"path": "D:\stable-diffusion-webui\extensions\sd-extension-system-info",
"version": "72d871b4",
"branch": "main",
"remote": "https://github.com/vladmandic/sd-extension-system-info.git"
},
{
"name": "sd-webui-aspect-ratio-helper",
"path": "D:\stable-diffusion-webui\extensions\sd-webui-aspect-ratio-helper",
"version": "99fcf9b0",
"branch": "main",
"remote": "https://github.com/thomasasfk/sd-webui-aspect-ratio-helper.git"
},
{
"name": "sd-webui-lama-cleaner-masked-content",
"path": "D:\stable-diffusion-webui\extensions\sd-webui-lama-cleaner-masked-content",
"version": "6c363db1",
"branch": "master",
"remote": "https://github.com/light-and-ray/sd-webui-lama-cleaner-masked-content.git"
},
{
"name": "sd-webui-model-mixer",
"path": "D:\stable-diffusion-webui\extensions\sd-webui-model-mixer",
"version": "",
"branch": null,
"remote": null
},
{
"name": "sd-webui-stablesr",
"path": "D:\stable-diffusion-webui\extensions\sd-webui-stablesr",
"version": "4499d796",
"branch": "master",
"remote": "https://github.com/pkuliyi2015/sd-webui-stablesr.git"
},
{
"name": "sd-webui-supermerger",
"path": "D:\stable-diffusion-webui\extensions\sd-webui-supermerger",
"version": "f2be9fa8",
"branch": "main",
"remote": "https://github.com/hako-mikan/sd-webui-supermerger.git"
},
{
"name": "sd-webui-zmultidiffusion-upscaler-for-automatic1111",
"path": "D:\stable-diffusion-webui\extensions\sd-webui-zmultidiffusion-upscaler-for-automatic1111",
"version": "fbb24736",
"branch": "main",
"remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111.git"
},
{
"name": "stable-diffusion-webui-model-toolkit",
"path": "D:\stable-diffusion-webui\extensions\stable-diffusion-webui-model-toolkit",
"version": "cf824587",
"branch": "master",
"remote": "https://github.com/arenasys/stable-diffusion-webui-model-toolkit.git"
},
{
"name": "ultimate-upscale-for-automatic1111",
"path": "D:\stable-diffusion-webui\extensions\ultimate-upscale-for-automatic1111",
"version": "728ffcec",
"branch": "master",
"remote": "https://github.com/Coyote-A/ultimate-upscale-for-automatic1111.git"
}
],
"Inactive extensions": [],
"Environment": {
"COMMANDLINE_ARGS": "--opt-sdp-attention --no-half-vae --opt-channelslast --disable-safe-unpickle --skip-torch-cuda-test --disable-nan-check --skip-version-check --ckpt-dir "e:\stable Diffusion Checkpoints"",
"GRADIO_ANALYTICS_ENABLED": "False"
},
"Config": {
"samples_save": true,
"samples_format": "png",
"samples_filename_pattern": "[number]",
"save_images_add_number": true,
"save_images_replace_action": "Replace",
"grid_save": false,
"grid_format": "png",
"grid_extended_filename": false,
"grid_only_if_multiple": true,
"grid_prevent_empty_spots": false,
"grid_zip_filename_pattern": "[number]",
"n_rows": -1,
"font": "",
"grid_text_active_color": "#000000",
"grid_text_inactive_color": "#999999",
"grid_background_color": "#ffffff",
"save_images_before_face_restoration": false,
"save_images_before_highres_fix": false,
"save_images_before_color_correction": false,
"save_mask": false,
"save_mask_composite": false,
"jpeg_quality": 80,
"webp_lossless": false,
"export_for_4chan": false,
"img_downscale_threshold": 4.0,
"target_side_length": 4000,
"img_max_size_mp": 200,
"use_original_name_batch": true,
"use_upscaler_name_as_suffix": false,
"save_selected_only": true,
"save_init_img": false,
"temp_dir": "D:\temp",
"clean_temp_dir_at_start": false,
"save_incomplete_images": false,
"notification_audio": false,
"notification_volume": 100,
"outdir_samples": "E:\Stable Diffusion Images",
"outdir_txt2img_samples": "E:\Stable Diffusion Images",
"outdir_img2img_samples": "E:\Stable Diffusion Images",
"outdir_extras_samples": "E:\Stable Diffusion Images",
"outdir_grids": "E:\Stable Diffusion Images",
"outdir_txt2img_grids": "E:\Stable Diffusion Images",
"outdir_img2img_grids": "E:\Stable Diffusion Images",
"outdir_save": "E:\Stable Diffusion Images",
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