Open prime385 opened 11 months ago
Ok, I will take a look
up! this is a really nice feature and should get some priority (imo).
Note: This inpaint-ignoring is also happening when selecting a Folder of images.
a "work around" for this, not really ideal, but.. you can go to XYZ plot, choose various facemodels, and it will work correctly with inpaint.
I got the same issue, also with a face model. May I know did it solve or I have other issues?
I got the same issue, also with a face model. May I know did it solve or I have other issues?
hi, you have to chose the facemodels in the XYZ plot, then it should work.
First, confirm
What happened?
When I use a single image source together with inpaint ("Inpaint Masked" mask mode), ReActor correctly only replaces/generates the region that I've painted.
However, when I switch to using multiple image sources, it no longer seems to take into account the inpainted area, and seems to generate the entire image
In this example, notice there is a random water droplet on the wrists of the right images that isn't on the original, and also the hair near the left side of the image looks somewhat transparent, presumably because the "strength" of result face is making the face more visible where it shouldn't be (under the hair)
Steps to reproduce the problem
Sysinfo
System Info
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"google-auth==2.20.0", "gradio-client==0.5.0", "gradio==3.41.2", "grpcio==1.56.0", "h11==0.12.0", "httpcore==0.15.0", "httpx==0.24.1", "huggingface-hub==0.15.1", "humanfriendly==10.0", "idna==3.4", "imageio==2.31.1", "importlib-metadata==6.7.0", "importlib-resources==6.1.1", "inflection==0.5.1", "insightface==0.7.3", "jinja2==3.1.2", "joblib==1.3.2", "jsonmerge==1.8.0", "jsonschema==4.17.3", "kiwisolver==1.4.4", "kornia==0.6.7", "lark==1.1.2", "lazy-loader==0.2", "lightning-utilities==0.8.0", "linkify-it-py==2.0.2", "llvmlite==0.40.1", "lmdb==1.4.1", "lpips==0.1.4", "markdown-it-py==2.2.0", "markdown==3.4.3", "markupsafe==2.1.3", "matplotlib==3.7.1", "mdit-py-plugins==0.3.3", "mdurl==0.1.2", "mpmath==1.3.0", "multidict==6.0.4", "networkx==3.1", "numba==0.57.1", "numpy==1.23.5", "oauthlib==3.2.2", "omegaconf==2.2.3", "onnx==1.15.0", "onnxruntime-gpu==1.16.3", "open-clip-torch==2.20.0", "opencv-python-headless==4.8.1.78", "opencv-python==4.7.0.72", "orjson==3.9.1", "packaging==23.1", "pandas==2.0.2", "piexif==1.1.3", "pillow==9.5.0", "pip==22.2.1", "platformdirs==3.8.0", "prettytable==3.9.0", "protobuf==3.20.3", "psutil==5.9.5", "pyasn1-modules==0.3.0", "pyasn1==0.5.0", "pydantic==1.10.9", "pydub==0.25.1", "pygments==2.15.1", "pyparsing==3.1.0", "pyreadline3==3.4.1", "pyrsistent==0.19.3", "pysocks==1.7.1", "python-dateutil==2.8.2", "python-multipart==0.0.6", "pytorch-lightning==1.9.4", "pytz==2023.3", "pywavelets==1.4.1", "pyyaml==6.0", "qudida==0.0.4", "realesrgan==0.3.0", "regex==2023.6.3", "requests-oauthlib==1.3.1", "requests==2.31.0", "resize-right==0.0.2", "rsa==4.9", "safetensors==0.3.1", "scikit-image==0.21.0", "scikit-learn==1.3.2", "scipy==1.10.1", "semantic-version==2.10.0", "sentencepiece==0.1.99", "setuptools==63.2.0", "six==1.16.0", "smmap==5.0.0", "sniffio==1.3.0", "soupsieve==2.4.1", "starlette==0.26.1", "sympy==1.12", "tb-nightly==2.14.0a20230623", "tensorboard-data-server==0.7.1", "threadpoolctl==3.2.0", "tifffile==2023.4.12", "timm==0.9.2", "tokenizers==0.13.3", "tomesd==0.1.3", "tomli==2.0.1", "toolz==0.12.0", "torch==2.0.1+cu118", "torchdiffeq==0.2.3", "torchmetrics==0.11.4", "torchsde==0.2.6", "torchvision==0.15.2+cu118", "tqdm==4.65.0", "trampoline==0.1.2", "transformers==4.30.2", "typing-extensions==4.6.3", "tzdata==2023.3", "uc-micro-py==1.0.2", "urllib3==1.26.16", "uvicorn==0.22.0", "wcwidth==0.2.6", "websockets==11.0.3", "werkzeug==2.3.6", "wheel==0.40.0", "yapf==0.40.1", "yarl==1.9.2", "zipp==3.15.0" ] }Relevant console log
Additional information
No response