docs: update /remove-pink endpoint docstring - clarify no black paint needed

fix(api): remove black paint detection - just auto-detect pink segments, everything else kept automatically

docs: add /remove-pink endpoint to API documentation

feat(api): add /remove-pink endpoint - simple one-parameter endpoint that auto-detects pink segments and removes them

feat(api): improve pink/magenta auto-detection with tolerance - automatically segment pink as white (remove), rest as black (keep)

fix: simplify mask processing to match reference model - direct white=remove detection

feat(api): auto-convert painted images to black/white masks (white=remove, black=keep) for better compatibility

fix(mask): improve mask detection - handle RGB paint directly, detect magenta and white areas; match reference model behavior

feat(api): improve painted mask detection - detect magenta (255,0,255) and other paint colors; better logging

fix(mask): ensure proper mask interpretation - selected areas are removed; add detailed logging

fix(mask): improve mask loading to match standard convention (white=remove); add debug logs

feat(api): add passthrough flag to return original image unchanged for /inpaint and /inpaint-multipart

feat(api): robust painted mask detection; fallback to dark-threshold when diff empty; add logs

feat(api): allow painted-on mask via mask_is_painted flag (auto-diff + Otsu threshold)

feat(api): support invert_mask flag for /inpaint and /inpaint-multipart (selected area removed by default)

feat: invert-mask option in UI and core; add docs (no secrets)

Update api/main.py

Update requirements.txt

Update api/main.py

fix: revert to sdk: docker for FastAPI

fix: change SDK from docker to streamlit to match app.py

feat(api): simplify /inpaint response to return only filename; update docs

feat(api): add /inpaint-url endpoint returning public download URL; docs updated

feat(download): make /download public; docs: add HTTP_API_Documentation.txt

Merge feature: inpaint direct image return

feat(api): return image directly from /inpaint; docs: mark download optional for ID-based flow

API: add root endpoint with routes overview to avoid 404 at /

API: write under /data; Dockerfile precreates /data/uploads and /data/outputs with perms

Spaces: switch to Docker SDK and serve FastAPI via uvicorn

API: implement inpainting endpoints (upload image/mask, inpaint, download, logs); optional Bearer via API_TOKEN

API: add FastAPI endpoints for Hair Swap flow; deps updated

Fix canvas error: pin streamlit==1.24.1 and align sdk_version

Spaces: set hardware cpu-basic for Streamlit (avoid ZeroGPU)

Spaces: quote sdk_version and remove python_version to ensure Streamlit runner

Streamlit: initialize UI at module import for HF Spaces

Spaces: remove Dockerfile, guard Streamlit execution to avoid bare-mode

Remove Gradio path; run Streamlit UI only

Spaces config: set hardware to cpu-basic for Streamlit

Update README.md

Update README.md

Update README.md

Finalize Space config for push

Fix upload flow indentation; show prompt when no image uploaded

Enable GPU auto-selection (CUDA if available) with DEVICE override; load TorchScript model on selected device. Reference: https://huggingface.co/spaces/LogicGoInfotechSpaces/Hair_stable_new/tree/main

deps: pin gradio==5.47.0 and replace scikit-learn with scipy>=1.14.1

Switch Space to Gradio UI: add Gradio app, update README and requirements

Track PNGs with Git LFS and re-add assets/demo.png

Resolve merge conflicts: unify .gitattributes and README for Streamlit Space

initial commit

Update app.py