Closed VitaliyAT closed 1 year ago
seems there is some corruption in image header - can you upload that image (here or somewhere else)?
that image really does have corrupt exif header and i cannot ignore it as error happens within gradio before app has any chance to do something. how was that image generated?
btw, this is raw output of the header - it has exif inside exif.
PNG metadata: {
"jfif": "257",
"jfif_version": "(1, 1)",
"jfif_unit": "0",
"jfif_density": "(1, 1)",
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\\x004\\x00)\\x00\"'",
"dpi": "(72, 72)",
"postprocessing": "Postprocess upscale by: 1, Postprocess upscaler: 4x_Valar_v1, GFPGAN visibility: 1",
"extras": "Postprocess upscale by: 1, Postprocess upscaler: 4x_Valar_v1, GFPGAN visibility: 1"
}
that image really does have corrupt exif header and i cannot ignore it as error happens within gradio before app has any chance to do something. how was that image generated?
it was generated buy SD by itself.
Is it possible create some exif fixer builded in Vlad Diffusion? It's very popular problem - but no correct answer finded. Nobody think about problem inside picture as you. All suggest change something in scripts.
Or, like an idea, is it possible that it's not a bug , but it's some new format of EXIF that not supported in input (but generated in output)?
i may create a metadata editor in the future, but thats not a short term item.
how was this image generated exactly? and when (using which version)? was it using sdnext or a1111?
Issue Description
Trying upscale photos, got error. Full cmd log: `Using VENV: C:\ai\VladDif\venv 19:37:18-428889 INFO Starting SD.Next 19:37:18-446811 INFO Python 3.10.9 on Windows 19:37:19-038429 INFO Version: 0891b30f Sat May 20 08:29:02 2023 -0400 19:37:21-648036 INFO Latest published version: 186bd236f592991cc9d9303689846c6d9eb68bb3 2023-07-13T13:50:38Z 19:37:21-650072 INFO Setting environment tuning 19:37:21-653060 INFO nVidia CUDA toolkit detected 19:37:28-811502 INFO Torch 2.0.1+cu118 19:37:28-831434 INFO Torch backend: nVidia CUDA 11.8 cuDNN 8700 19:37:28-834597 INFO Torch detected GPU: NVIDIA RTX A4000 VRAM 16376 Arch (8, 6) Cores 48 19:37:28-837279 INFO Verifying requirements 19:37:28-867419 INFO Installing packages 19:37:28-933557 INFO No changes detected: Quick launch active 19:37:28-948547 INFO Running extension preloading 19:37:28-951724 INFO Server arguments: [] No module 'xformers'. Proceeding without it. 19:37:50-952785 INFO Libraries loaded 19:37:50-955780 INFO Using data path: C:\ai\VladDif 19:37:50-962803 INFO Available VAEs: C:\ai\VladDif\models\VAE 2 19:37:52-027768 INFO Available models: C:\ai\VladDif\models\Stable-diffusion 75 2023-07-13 19:37:54,294 - ControlNet - INFO - ControlNet v1.1.227 ControlNet preprocessor location: C:\ai\VladDif\extensions-builtin\sd-webui-controlnet\annotator\downloads 2023-07-13 19:37:54,502 - ControlNet - INFO - ControlNet v1.1.227 2023-07-13 19:37:57,039 - roop - INFO - roop v0.0.2 2023-07-13 19:37:57,042 - roop - INFO - roop v0.0.2 19:37:57-320126 INFO Loading UI theme: name=black-orange style=Auto Running on local URL: http://127.0.0.1:7860
To create a public link, set
share=True
inlaunch()
. 19:38:02-264493 INFO Local URL: http://127.0.0.1:7860/ 19:38:02-266457 INFO API Docs: http://127.0.0.1:7860/docs 19:38:02-268446 INFO Initializing middleware 19:38:02-635977 INFO Setting Torch parameters: dtype=torch.float16 vae=torch.float16 unet=torch.float16 Loading weights: C:\ai\VladDif\models\Stable-diffusion\Reliberate-inpainting.safetensors ----------- 0.0/2.1 GB -:--:-- LatentInpaintDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.54 M params. 19:38:03-228073 INFO Model created from config: C:\ai\VladDif\configs\v1-inpainting-inference.yaml 19:38:04-897525 INFO Applying scaled dot product cross attention optimization 19:38:05-349922 INFO Embeddings loaded: 15 ['bad-artist', 'bad-artist-anime', 'bad-hands-5', 'bad-image-v2-39000', 'bad_prompt_version2', 'dairokutenma-8100', 'darkskin_style', 'easynegative', 'epiCNegative', 'HyperStylizeV6', 'lam-20000', 'ng_deepnegative_v1_75t', 'tabi', 'verybadimagenegative_v1.3', 'vile_prompt3'] 19:38:05-357179 INFO Textual inversion embeddings skipped(1): NegLowRes-2400 19:38:05-364754 INFO Model loaded in 2.8s (load=0.2s create=0.4s apply=0.4s vae=0.5s move=0.7s embeddings=0.5s) 19:38:05-589673 INFO Model load finished: {'ram': {'used': 3.1, 'total': 63.85}, 'gpu': {'used': 3.15, 'total': 15.99}, 'retries': 0, 'oom': 0} 19:38:06-455552 INFO Setting Torch parameters: dtype=torch.float16 vae=torch.float16 unet=torch.float16 Loading weights: C:\ai\VladDif\models\Stable-diffusion\Reliberate-inpainting.safetensors ----------- 0.0/2.1 GB -:--:-- LatentInpaintDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.54 M params. 19:38:07-071211 INFO Model created from config: C:\ai\VladDif\configs\v1-inpainting-inference.yaml 19:38:08-793177 INFO Applying scaled dot product cross attention optimization 19:38:08-816241 INFO Model loaded in 3.1s (load=1.0s create=0.4s apply=0.4s vae=0.5s move=0.8s) 19:38:09-034287 INFO Model load finished: {'ram': {'used': 3.1, 'total': 63.85}, 'gpu': {'used': 3.15, 'total': 15.99}, 'retries': 0, 'oom': 0} 19:38:09-323366 INFO Startup time: 40.3s (torch=17.3s gradio=2.5s libraries=2.2s models=1.1s codeformer=0.2s scripts=4.9s opts onchange=0.1s ui=4.5s start=0.4s scripts app_started_callback=0.1s checkpoint=7.0s) 19:38:09-327307 INFO Memory used: 1.12 total: 63.85 Traceback (most recent call last): File "C:\ai\VladDif\venv\lib\site-packages\gradio\routes.py", line 414, in run_predict output = await app.get_blocks().process_api( File "C:\ai\VladDif\venv\lib\site-packages\gradio\blocks.py", line 1321, in process_api inputs = self.preprocess_data(fn_index, inputs, state) File "C:\ai\VladDif\venv\lib\site-packages\gradio\blocks.py", line 1171, in preprocess_data processed_input.append(block.preprocess(inputs[i])) File "C:\ai\VladDif\venv\lib\site-packages\gradio\components.py", line 1792, in preprocess im = processing_utils.decode_base64_to_image(x) File "C:\ai\VladDif\venv\lib\site-packages\gradio\processing_utils.py", line 52, in decode_base64_to_image exif = img.getexif() File "C:\ai\VladDif\venv\lib\site-packages\PIL\PngImagePlugin.py", line 1028, in getexif return super().getexif() File "C:\ai\VladDif\venv\lib\site-packages\PIL\Image.py", line 1455, in getexif self._exif.load(exif_info) File "C:\ai\VladDif\venv\lib\site-packages\PIL\Image.py", line 3719, in load self._info = TiffImagePlugin.ImageFileDirectory_v2(self.head) File "C:\ai\VladDif\venv\lib\site-packages\PIL\TiffImagePlugin.py", line 507, in init raise SyntaxError(msg) SyntaxError: not a TIFF file (header b"b'Exif\x" not valid) Traceback (most recent call last): File "C:\ai\VladDif\venv\lib\site-packages\gradio\routes.py", line 414, in run_predict output = await app.get_blocks().process_api( File "C:\ai\VladDif\venv\lib\site-packages\gradio\blocks.py", line 1321, in process_api inputs = self.preprocess_data(fn_index, inputs, state) File "C:\ai\VladDif\venv\lib\site-packages\gradio\blocks.py", line 1171, in preprocess_data processed_input.append(block.preprocess(inputs[i])) File "C:\ai\VladDif\venv\lib\site-packages\gradio\components.py", line 1792, in preprocess im = processing_utils.decode_base64_to_image(x) File "C:\ai\VladDif\venv\lib\site-packages\gradio\processing_utils.py", line 52, in decode_base64_to_image exif = img.getexif() File "C:\ai\VladDif\venv\lib\site-packages\PIL\PngImagePlugin.py", line 1028, in getexif return super().getexif() File "C:\ai\VladDif\venv\lib\site-packages\PIL\Image.py", line 1455, in getexif self._exif.load(exif_info) File "C:\ai\VladDif\venv\lib\site-packages\PIL\Image.py", line 3719, in load self._info = TiffImagePlugin.ImageFileDirectory_v2(self.head) File "C:\ai\VladDif\venv\lib\site-packages\PIL\TiffImagePlugin.py", line 507, in init raise SyntaxError(msg) SyntaxError: not a TIFF file (header b"b'Exif\x" not valid) Traceback (most recent call last): File "C:\ai\VladDif\venv\lib\site-packages\gradio\routes.py", line 414, in run_predict output = await app.get_blocks().process_api( File "C:\ai\VladDif\venv\lib\site-packages\gradio\blocks.py", line 1321, in process_api inputs = self.preprocess_data(fn_index, inputs, state) File "C:\ai\VladDif\venv\lib\site-packages\gradio\blocks.py", line 1171, in preprocess_data processed_input.append(block.preprocess(inputs[i])) File "C:\ai\VladDif\venv\lib\site-packages\gradio\components.py", line 1792, in preprocess im = processing_utils.decode_base64_to_image(x) File "C:\ai\VladDif\venv\lib\site-packages\gradio\processing_utils.py", line 52, in decode_base64_to_image exif = img.getexif() File "C:\ai\VladDif\venv\lib\site-packages\PIL\PngImagePlugin.py", line 1028, in getexif return super().getexif() File "C:\ai\VladDif\venv\lib\site-packages\PIL\Image.py", line 1455, in getexif self._exif.load(exif_info) File "C:\ai\VladDif\venv\lib\site-packages\PIL\Image.py", line 3719, in load self._info = TiffImagePlugin.ImageFileDirectory_v2(self.head) File "C:\ai\VladDif\venv\lib\site-packages\PIL\TiffImagePlugin.py", line 507, in init raise SyntaxError(msg) SyntaxError: not a TIFF file (header b"b'Exif\x" not valid)`Version Platform Description
win10
Acknowledgements