[Bug]: Ongoing Inpainting issue where after processing image reverts to original and only original is saved / (Bug Reported in Sept but closed)

[CCpt5]

Amazing exxtension - thank you!!!! I am experiencing a problem w/ inpainting though:

Describe the bug

When using A111 (1.6+) to inpaint with AD, it goes through the process, flashes the proper final image, but then the image reverts back to the original and that is what is saved :(

I searched to see this issue was reported in September. Is there any hope for a fix? If it's not reproducible I can provide any additional info you need. This attempt below (and my system info) is after moving all of my extensions except ADetailer out of the extensions folder so it is the only one running in the session. Thus, it doesn't appear to be related to an extension conflicting. I am running A1111 1.7rc but the other reports from September were definitely on earlier versions.

Any hope for a review/fix?

#315 <----Original report that was closed by the bot for being stale.

Screenshots

Trying to make a funny Die Hard parody and these are the saved images after inpainting w/ AD applied. It displays a good image for a second (preview) but then the original is saved as the output and displayed in the GUI (processed image is lost).

Here I attempt to replace Bruce Willis's face with Arnold's face. The images are in sequence to the processes - ending w/ the original image being saved as an output.

Examples of my 2 last output attempts (Re: nothing changed - and console shows the original image also after processing):

Console logs, from start to end.

Loading VAE weights specified in settings: cached sdxl_vae.safetensors
Applying attention optimization: sdp-no-mem... done.
Weights loaded in 5.8s (calculate hash: 1.4s, load weights from disk: 0.6s, apply weights to model: 2.5s, move model to device: 1.2s).
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:04<00:00,  3.82it/s]
Total progress: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:03<00:00,  3.96it/s]
0: 288x640 6 faces, 3.0ms
Speed: 1.0ms preprocess, 3.0ms inference, 1.0ms postprocess per image at shape (1, 3, 288, 640)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.90it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.90it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.90it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.71it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.91it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.95it/s]
Total progress: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:32<00:00,  2.02s/it]
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:04<00:00,  3.89it/s]
Total progress: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:03<00:00,  3.92it/s]
0: 288x640 6 faces, 3.0ms
Speed: 0.0ms preprocess, 3.0ms inference, 2.0ms postprocess per image at shape (1, 3, 288, 640)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.95it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.95it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.95it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.78it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.95it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:02<00:00,  3.95it/s]
Total progress: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:31<00:00,  2.00s/it]
Total progress: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:31<00:00,  3.92it/s]

### List of installed extensions

System information from the settings of A1111:


    "Platform": "Windows-10-10.0.19045-SP0",
    "Python": "3.10.11",
    "Version": "v1.7.0-RC-4-g120a84bd",
    "Commit": "120a84bd2f01ec4489bd12bd68f319798ef30782",
    "Script path": "D:\\Stable-Diffusion-Webui",
    "Data path": "D:\\Stable-Diffusion-Webui",
    "Extensions dir": "D:\\Stable-Diffusion-Webui\\extensions",
    "Checksum": "cec6213199f1091683fccbe1606a6e6e26a142b4f479206f074249729cc0274d",
    "Commandline": [
        "launch.py",
        "--opt-sdp-attention",
        "--no-half-vae",
        "--opt-channelslast",
        "--skip-torch-cuda-test",
        "--skip-version-check",
        "--ckpt-dir",
        "e:\\Stable Diffusion Checkpoints"
    ],
    "Torch env info": {
        "torch_version": "2.0.1+cu118",
        "is_debug_build": "False",
        "cuda_compiled_version": "11.8",
        "gcc_version": null,
        "clang_version": null,
        "cmake_version": "version 3.28.0-rc2",
        "os": "Microsoft Windows 10 Pro",
        "libc_version": "N/A",
        "python_version": "3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] (64-bit runtime)",
        "python_platform": "Windows-10-10.0.19045-SP0",
        "is_cuda_available": "True",
        "cuda_runtime_version": "12.1.66\r",
        "cuda_module_loading": "LAZY",
        "nvidia_driver_version": "546.17",
        "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==2.0.1+cu118",
            "torchdiffeq==0.2.3",
            "torchmetrics==1.2.1",
            "torchsde==0.2.6",
            "torchvision==0.15.2+cu118"
        ],
        "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=3000",
            "DeviceID=CPU0",
            "Family=207",
            "L2CacheSize=16384",
            "L2CacheSpeed=",
            "Manufacturer=GenuineIntel",
            "MaxClockSpeed=3000",
            "Name=13th Gen Intel(R) Core(TM) i9-13900K",
            "ProcessorType=3",
            "Revision="
        ]
    },
    "Exceptions": [],
    "CPU": {
        "model": "Intel64 Family 6 Model 183 Stepping 1, GenuineIntel",
        "count logical": 32,
        "count physical": 24
    },
    "RAM": {
        "total": "64GB",
        "used": "11GB",
        "free": "53GB"
    },
    "Extensions": [
        {
            "name": "1-sd-dynamic-prompts",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\1-sd-dynamic-prompts",
            "version": "",
            "branch": null,
            "remote": null
        },
        {
            "name": "2adetailer",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\2adetailer",
            "version": "261f9c1e",
            "branch": "main",
            "remote": "https://github.com/Bing-su/adetailer.git"
        },
        {
            "name": "3sd-webui-controlnet",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\3sd-webui-controlnet",
            "version": "feea1f65",
            "branch": "main",
            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git"
        },
        {
            "name": "4frame2frame",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\4frame2frame",
            "version": "",
            "branch": null,
            "remote": null
        },
        {
            "name": "b1111-sd-webui-tagcomplete",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\b1111-sd-webui-tagcomplete",
            "version": "fcacf7dd",
            "branch": "main",
            "remote": "https://github.com/DominikDoom/a1111-sd-webui-tagcomplete.git"
        },
        {
            "name": "multidiffusion-upscaler-for-automatic1111",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\multidiffusion-upscaler-for-automatic1111",
            "version": "fbb24736",
            "branch": "main",
            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111.git"
        },
        {
            "name": "sd-webui-animatediff",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\sd-webui-animatediff",
            "version": "ca981977",
            "branch": "master",
            "remote": "https://github.com/continue-revolution/sd-webui-animatediff.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-color-correction-extras",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\sd-webui-color-correction-extras",
            "version": "f34fa199",
            "branch": "master",
            "remote": "https://github.com/light-and-ray/sd-webui-color-correction-extras.git"
        },
        {
            "name": "sd-webui-freeu",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\sd-webui-freeu",
            "version": "08a1734f",
            "branch": "main",
            "remote": "https://github.com/ljleb/sd-webui-freeu.git"
        },
        {
            "name": "sd-webui-kohya-hiresfix",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\sd-webui-kohya-hiresfix",
            "version": "f92a2dd6",
            "branch": "main",
            "remote": "https://github.com/wcde/sd-webui-kohya-hiresfix.git"
        },
        {
            "name": "sd-webui-model-mixer",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\sd-webui-model-mixer",
            "version": "a80694c0",
            "branch": "master",
            "remote": "https://github.com/wkpark/sd-webui-model-mixer.git"
        },
        {
            "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": "b3a2a827",
            "branch": "main",
            "remote": "https://github.com/hako-mikan/sd-webui-supermerger.git"
        },
        {
            "name": "stable-diffusion-webui-giant-kitten",
            "path": "D:\\Stable-Diffusion-Webui\\extensions\\stable-diffusion-webui-giant-kitten",
            "version": "1d2362d2",
            "branch": "master",
            "remote": "https://github.com/klimaleksus/stable-diffusion-webui-giant-kitten.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 --skip-torch-cuda-test --skip-version-check --ckpt-dir \"e:\\Stable Diffusion Checkpoints\"",
        "GRADIO_ANALYTICS_ENABLED": "False"
    },
    "Config": {
        "samples_save": true,
        "samples_format": "png",
        "samples_filename_pattern": "[number]-[seed]-[prompt_spaces]",
        "save_images_add_number": true,
        "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]-[seed]-[prompt_spaces]",
        "n_rows": -1,
        "font": "",
        "grid_text_active_color": "#000000",
        "grid_text_inactive_color": "#999999",
        "grid_background_color": "#ffffff",
        "enable_pnginfo": true,
        "save_txt": false,
        "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": 90,
        "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": true,
        "save_incomplete_images": false,
        "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": "",
        "outdir_txt2img_grids": "E:\\Stable Diffusion Images",
        "outdir_img2img_grids": "E:\\Stable Diffusion Images",
        "outdir_save": "E:\\Stable Diffusion Images",
        "outdir_init_images": "E:\\Stable Diffusion Images",
        "save_to_dirs": true,
        "grid_save_to_dirs": true,
        "use_save_to_dirs_for_ui": false,
        "directories_filename_pattern": "[date]",
        "directories_max_prompt_words": 8,
        "ESRGAN_tile": 192,
        "ESRGAN_tile_overlap": 8,
        "realesrgan_enabled_models": [
            "R-ESRGAN 4x+",
            "R-ESRGAN 4x+ Anime6B"
        ],
        "upscaler_for_img2img": null,
        "face_restoration": false,
        "face_restoration_model": "CodeFormer",
        "code_former_weight": 0.5,
        "face_restoration_unload": false,
        "auto_launch_browser": "Local",
        "show_warnings": false,
        "show_gradio_deprecation_warnings": false,
        "memmon_poll_rate": 8,
        "samples_log_stdout": false,
        "multiple_tqdm": true,
        "print_hypernet_extra": false,
        "list_hidden_files": true,
        "disable_mmap_load_safetensors": false,
        "hide_ldm_prints": true,
        "api_enable_requests": false,
        "api_forbid_local_requests": false,
        "api_useragent": "",
        "unload_models_when_training": false,
        "pin_memory": false,
        "save_optimizer_state": false,
        "save_training_settings_to_txt": true,
        "dataset_filename_word_regex": "",
        "dataset_filename_join_string": " ",
        "training_image_repeats_per_epoch": 1,
        "training_write_csv_every": 0.0,
        "training_xattention_optimizations": false,
        "training_enable_tensorboard": false,
        "training_tensorboard_save_images": false,
        "training_tensorboard_flush_every": 120,
        "sd_model_checkpoint": "z-mixer-2023-12-08-DaveMatthews 5 model merge - lots of realvision - good samples.fp16.safetensors [13d5709573]",
        "sd_checkpoints_limit": 1,
        "sd_checkpoints_keep_in_cpu": false,
        "sd_checkpoint_cache": 0,
        "sd_unet": "Automatic",
        "enable_quantization": true,
        "enable_emphasis": true,
        "enable_batch_seeds": true,
        "comma_padding_backtrack": 20,
        "CLIP_stop_at_last_layers": 1,
        "upcast_attn": true,
        "randn_source": "CPU",
        "tiling": false,
        "hires_fix_refiner_pass": "second pass",
        "sdxl_crop_top": 0,
        "sdxl_crop_left": 0,
        "sdxl_refiner_low_aesthetic_score": 2.5,
        "sdxl_refiner_high_aesthetic_score": 6.0,
        "sd_vae_explanation": "<abbr title='Variational autoencoder'>VAE</abbr> is a neural network that transforms a standard <abbr title='red/green/blue'>RGB</abbr>\nimage into latent space representation and back. Latent space representation is what stable diffusion is working on during sampling\n(i.e. when the progress bar is between empty and full). For txt2img, VAE is used to create a resulting image after the sampling is finished.\nFor img2img, VAE is used to process user's input image before the sampling, and to create an image after sampling.",
        "sd_vae_checkpoint_cache": 1,
        "sd_vae": "sdxl_vae.safetensors",
        "sd_vae_overrides_per_model_preferences": true,
        "auto_vae_precision": true,
        "sd_vae_encode_method": "Full",
        "sd_vae_decode_method": "Full",
        "inpainting_mask_weight": 1.0,
        "initial_noise_multiplier": 1.0,
        "img2img_extra_noise": 0.0,
        "img2img_color_correction": false,
        "img2img_fix_steps": false,
        "img2img_background_color": "#ffffff",
        "img2img_editor_height": 720,
        "img2img_sketch_default_brush_color": "#ffffff",
        "img2img_inpaint_mask_brush_color": "#ffffff",
        "img2img_inpaint_sketch_default_brush_color": "#ffffff",
        "return_mask": false,
        "return_mask_composite": false,
        "cross_attention_optimization": "sdp-no-mem - scaled dot product without memory efficient attention",
        "s_min_uncond": 0.0,
        "token_merging_ratio": 0.0,
        "token_merging_ratio_img2img": 0.0,
        "token_merging_ratio_hr": 0.0,
        "pad_cond_uncond": false,
        "persistent_cond_cache": true,
        "batch_cond_uncond": false,
        "use_old_emphasis_implementation": false,
        "use_old_karras_scheduler_sigmas": false,
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        "gdown==4.7.1",
        "gfpgan==1.3.8",
        "gitdb==4.0.11",
        "gitpython==3.1.32",
        "google-auth-oauthlib==1.1.0",
        "google-auth==2.24.0",
        "gradio-client==0.5.0",
        "gradio==3.41.2",
        "grpcio==1.59.3",
        "h11==0.12.0",
        "httpcore==0.15.0",
        "httpx==0.24.1",
        "huggingface-hub==0.19.4",
        "idna==3.6",
        "imageio-ffmpeg==0.4.9",
        "imageio==2.33.0",
        "importlib-metadata==7.0.0",
        "importlib-resources==6.1.1",
        "inflection==0.5.1",
        "iopath==0.1.9",
        "jinja2==3.1.2",
        "joblib==1.3.2",
        "jsonmerge==1.8.0",
        "jsonschema-specifications==2023.11.2",
        "jsonschema==4.20.0",
        "kiwisolver==1.4.5",
        "kornia==0.6.7",
        "lark==1.1.2",
        "lazy-loader==0.3",
        "lightning-utilities==0.10.0",
        "linkify-it-py==2.0.2",
        "llvmlite==0.41.1",
        "lmdb==1.4.1",
        "lpips==0.1.4",
        "lxml==4.9.3",
        "markdown-it-py==2.2.0",
        "markdown==3.5.1",
        "markupsafe==2.1.3",
        "matplotlib==3.8.2",
        "mdit-py-plugins==0.3.3",
        "mdurl==0.1.2",
        "mediapipe==0.10.8",
        "moviepy==1.0.3",
        "mpmath==1.3.0",
        "multidict==6.0.4",
        "networkx==3.2.1",
        "numba==0.58.1",
        "numpy==1.23.5",
        "oauthlib==3.2.2",
        "omegaconf==2.2.3",
        "open-clip-torch==2.20.0",
        "opencv-contrib-python==4.8.1.78",
        "opencv-python==4.8.1.78",
        "orjson==3.9.10",
        "packaging==23.2",
        "pandas==2.1.3",
        "piexif==1.1.3",
        "pillow==9.5.0",
        "pip==23.0.1",
        "platformdirs==4.1.0",
        "portalocker==2.8.2",
        "proglog==0.1.10",
        "protobuf==3.20.0",
        "psutil==5.9.5",
        "py-cpuinfo==9.0.0",
        "pyasn1-modules==0.3.0",
        "pyasn1==0.5.1",
        "pycocotools==2.0.7",
        "pycparser==2.21",
        "pydantic-core==2.14.5",
        "pydantic==1.10.13",
        "pydub==0.25.1",
        "pygments==2.17.2",
        "pyparsing==3.1.1",
        "pysocks==1.7.1",
        "python-dateutil==2.8.2",
        "python-multipart==0.0.6",
        "pytorch-lightning==1.9.4",
        "pytz==2023.3.post1",
        "pywavelets==1.5.0",
        "pywin32==306",
        "pyyaml==6.0.1",
        "realesrgan==0.3.0",
        "referencing==0.31.1",
        "regex==2023.10.3",
        "reportlab==4.0.7",
        "requests-oauthlib==1.3.1",
        "requests==2.31.0",
        "resize-right==0.0.2",
        "rich==13.7.0",
        "rpds-py==0.13.2",
        "rsa==4.9",
        "safetensors==0.3.1",
        "scikit-image==0.21.0",
        "scikit-learn==1.3.2",
        "scipy==1.11.4",
        "seaborn==0.13.0",
        "segment-anything==1.0",
        "semantic-version==2.10.0",
        "send2trash==1.8.2",
        "sentencepiece==0.1.99",
        "setuptools==65.5.0",
        "shellingham==1.5.4",
        "six==1.16.0",
        "smmap==5.0.1",
        "sniffio==1.3.0",
        "sounddevice==0.4.6",
        "soupsieve==2.5",
        "starlette==0.26.1",
        "supervision==0.6.0",
        "svglib==1.5.1",
        "sympy==1.12",
        "tabulate==0.9.0",
        "tb-nightly==2.16.0a20231203",
        "tensorboard-data-server==0.7.2",
        "termcolor==2.4.0",
        "tf-keras-nightly==2.16.0.dev2023120510",
        "thop==0.1.1.post2209072238",
        "threadpoolctl==3.2.0",
        "tifffile==2023.9.26",
        "timm==0.9.2",
        "tinycss2==1.2.1",
        "tokenizers==0.13.3",
        "tomesd==0.1.3",
        "tomli==2.0.1",
        "tomlkit==0.12.0",
        "toolz==0.12.0",
        "torch==2.0.1+cu118",
        "torchdiffeq==0.2.3",
        "torchmetrics==1.2.1",
        "torchsde==0.2.6",
        "torchvision==0.15.2+cu118",
        "tqdm==4.66.1",
        "trampoline==0.1.2",
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        "typer==0.9.0",
        "typing-extensions==4.8.0",
        "tzdata==2023.3",
        "uc-micro-py==1.0.2",
        "ultralytics==8.0.222",
        "urllib3==2.1.0",
        "uvicorn==0.24.0.post1",
        "wcwidth==0.2.12",
        "webencodings==0.5.1",
        "websockets==11.0.3",
        "werkzeug==3.0.1",
        "yacs==0.1.8",
        "yapf==0.40.2",
        "yarl==1.9.3",
        "zipp==3.17.0"
    ]
}

[Bing-su]

조사해본 결과, 이는 정상 동작인 것으로 보입니다.

이미지 '인페인팅' 모드에서는, 마스크로 지정한 영역 이외에는 이미지가 변경되지 않게 동작합니다.

제시해주신 것처럼, 인페인팅 모드에서, 아무 영역도 마스크로 지정하지 않고 이미지를 생성했을 때, 같은 현상이 일어나는 것을 보았습니다. 그러나 말씀드린 것처럼, 이는 마스크로 지정된 영역 이외에는 변경사항이 적용되지 않게 하는 인페인팅 모드의 동작으로 보입니다.

이런 동작을 방지하기 위해 나중에 여력이 된다면, 인페인팅 모드가 감지되면 adetailer를 알아서 비활성화하는 방안을 생각해보겠습니다.

원하시는 이미지 생성을 하시려면 img2img에 존재하는 skip_img2img옵션을 사용하시거나, adetailer를 끄고 직접 인페인팅을 시도해보시길 바랍니다.

[jimbojones71]

@CCpt5: I had the same problem. What I did (after reading Bing-su's comment above) was:

• On the inpaint menu set mask mode to "Inpoint not masked"
• in AD, set the "skip img2img" tick box to selected
  And that did the trick for me. Hope this helps you!

[CCpt5]

@CCpt5: I had the same problem. What I did (after reading Bing-su's comment above) was:

• On the inpaint menu set mask mode to "Inpoint not masked"
• in AD, set the "skip img2img" tick box to selected
  And that did the trick for me. Hope this helps you!

This worked!! Amazing! Thank you so much for returning to add your solution to this thread - helps me a ton!

Edit:

One thing I have noticed is that doing this disables the main denoiser slider. Fortunately the one inside ADetailers inpainting tab does work - so have to be sure to set that one as you want it.

[jimbojones71]

Thanks for the tip, @CCpt5 - just saved me quite a bit of time :)