Build / pip layer fixes:
- Add BUILDID ARG to Dockerfile.gpu; pass from docker-compose.gpu.yml build args
so pip layers can be force-busted without --no-cache:
BUILDID=$(date +%s) docker compose -f docker-compose.gpu.yml up --build
Model download (DNS-blocked environments):
- Change HF model cache from named volume to ./data/hf_cache bind mount
so models can be pre-downloaded on the host (no rebuild needed)
- Remove now-unused hf_model_cache named volume
- README: add iptables fix + huggingface-cli offline download instructions
Error handling improvements:
- ai_edit_region: catch ConnectError/Errno-3 → return 503 with exact fix commands
- _require_remote: give actionable message when local_gpu provider fails to load
- _build_provider: catch AttributeError (torch.xpu from wrong diffusers) not just ImportError
- local_diffusion.py: fix docstring to reflect <0.29.0 pin
https://claude.ai/code/session_01WVDg7amsy1TTtxvpku7bcM
ai_tools.py: add 'from io import BytesIO' — scale_selection and paste
endpoints used BytesIO directly but it was only imported locally in one
unrelated function, causing NameError on every scale call.
provider-badge.js: redesign badge to fit the narrow (~40px) left toolbar.
Was rendering 'GPU · sdxl_offload · Quadro RTX 3000' inline which wrapped
into multiple lines covering tool icons. Now shows a status dot + short
label (SDXL / OAI / Rep…) with all details moved to the hover tooltip.
https://claude.ai/code/session_01WVDg7amsy1TTtxvpku7bcM
Backend:
- local_diffusion.py: add _make_step_cb() that writes step/total_steps/
progress into _states on every diffusers callback_on_step_end; wired into
txt2img, inpaint, img2img with TypeError fallback for older diffusers
- ai_tools.py: GET /api/generate/progress SSE endpoint — streams _states
as JSON array every 200ms so clients get live denoising step counts
Frontend:
- progress_overlay.js: add connectProgressSSE(pipeType, baseUrl) /
disconnectProgressSSE() — opens EventSource, maps step/total_steps
to bar percentage (0→85% during denoising, 85→100 for decode/place)
- text_to_image.js: connect SSE before POST, disconnect on done/error
- selection_actions.js: connect SSE for AI edit / asymmetry operations
Result: for local GPU, progress bar shows "Step 12 / 30" with exact fill;
for remote providers and upscale (no step callbacks), shimmer animates.
https://claude.ai/code/session_01WVDg7amsy1TTtxvpku7bcM
Backend (3 new endpoints under /api/image/):
- POST /api/image/scale-selection — scale selected object by any % in-place;
LaMa/OpenCV fills the exposed gap so the scene looks natural
- POST /api/image/ai-edit-region — AI redraws the masked region via the
configured inpaint provider (local_gpu / InvokeAI / ComfyUI / OpenAI)
- POST /api/image/paste-into-selection — scales clipboard image to fit the
selection bounding box, masks it to the selection shape, composites result
Frontend (selection_actions.js + tool integration):
- New SelectionActions panel: fixed bottom-center HUD that appears
automatically after every SAM selection (click or paint)
- Panel actions: Scale by % (default 3%), Make less symmetrical (AI),
custom AI Edit prompt, Replace with clipboard, Copy/Cut to layer, Erase
- Both smart_select.js and brush_select.js updated to show the panel,
add updateLayerWithResult(), and hide panel on clearSelection/on_leave
- brush_select: offerFloatSelection() replaced with richer action panel
Real-world workflows now supported in one click after painting over object:
"Make this 3% bigger" → scale-selection (LaMa fills gap)
"Make this less symmetrical" → ai-edit-region with asymmetry prompt
"Replace this with what I copied" → paste-into-selection
https://claude.ai/code/session_01WVDg7amsy1TTtxvpku7bcM
sklearn was not installed in the container, causing ModuleNotFoundError on
import of ai_tools.py and preventing the server from starting.
Replaced with a self-contained numpy k-means++ implementation:
- k-means++ seeding for better initial centers
- 20-iteration Lloyd's algorithm
- Same output: hex colors sorted by cluster frequency
No new dependencies required.
https://claude.ai/code/session_01B58MaJCU1R6KwBDJCp8AfN
Auto-Enhance (Image menu):
POST /api/enhance — gray-world white balance, CLAHE contrast on L channel,
saturation boost ×1.15 in HSV, unsharp mask; all blended by strength slider
Frontend: strength selector (25/50/75/100%), keep-original option
Extract Color Palette (Image menu):
POST /api/extract-colors — k-means on 150×150 thumbnail, returns N dominant
colors sorted by cluster size. Frontend: floating swatch panel, click=copy
hex, shift+click=set as active color, toggle on/off.
History Panel (Edit menu, Ctrl+H):
Pure frontend — reads app.State.action_history and action_history_index,
renders clickable list of past actions (newest first), click any step to
undo/redo to that point. Auto-refreshes every 800ms while open.
Align to Canvas (Layer menu):
Floating toolbar with 7 alignment buttons: center H, center V, center both,
align left/right/top/bottom edges. Uses Update_layer_action for undo support.
Add Text (Generate menu):
6 styled presets (Heading, Subheading, Body, Caption, Quote, Bold Label)
shown as live-rendered previews in the dialog. Click a preset to insert a
text layer with the correct font/size/weight/color pre-applied.
https://claude.ai/code/session_01B58MaJCU1R6KwBDJCp8AfN
Backend:
- sam_service.py: auto-downloads SAM ViT-B (~375 MB) on first use with
progress tracking; loads model to CUDA/MPS/CPU; predict_points() takes
multi-point prompts (include/exclude labels) and returns best mask
- POST /api/segment/point: SAM point-prompt endpoint; returns mask PNG
- GET /api/segment/install-status: poll download progress
- POST /api/segment/install: explicit trigger (also auto on first click)
- main.py: pre-download SAM on startup alongside NCNN
Frontend (ai_edit.js):
- Click mode (default): click object → SAM generates mask instantly
Alt+click → subtract (deselect over-selected area)
Multiple clicks accumulate for multi-object or refinement
- Brush + / Brush − modes: paint to add or erase from SAM mask by hand
- If SAM model is still downloading on first click: inline progress bar,
user retries the click when done
- Unified action bar: Erase | Replace (inline prompt) | Upscale | Expand | Clear
- All modes share the same mask canvas; SAM and brush are fully composited
https://claude.ai/code/session_01B58MaJCU1R6KwBDJCp8AfN
Each operation (inpaint, txt2img, img2img, outpaint) can now use a different
provider. Resolution order: per-op override → global AI_PROVIDER default.
Example: txt2img→openai, inpaint→invokeai, everything else→invokeai default.
Backend:
- config.py: add AI_PROVIDER_INPAINT / TXT2IMG / IMG2IMG / OUTPAINT settings
- remote_provider.py: get_remote_provider(operation) resolves override then default;
_build_provider() extracted as shared factory; _OP_FIELD maps op→setting name
- ai_tools.py: each endpoint passes its operation to _require_remote();
GET /api/config runs per-op health checks concurrently, returns operations map
and overrides; POST /api/config accepts and applies per-op override fields
Frontend:
- ai_provider_settings.js: four new selects (inpaint/txt2img/img2img/outpaint);
persists to localStorage and sends per-op fields to POST /api/config
- provider-badge.js: shows override summary (e.g. "invokeai · txt2img→openai")
and per-op health in tooltip
- .env.example: document per-op override env vars with examples
https://claude.ai/code/session_01B58MaJCU1R6KwBDJCp8AfN
Frontend:
- tools/ai_replace_selection.js: use any selection → remote inpaint with prompt
- modules/generate/text_to_image.js: Text → Image dialog (new layer or replace canvas)
- modules/generate/outpaint.js: Expand Canvas in any direction via remote provider
- modules/tools/ai_provider_settings.js: in-app provider config (OpenAI / InvokeAI /
ComfyUI / Replicate); persists to localStorage, pushes to POST /api/config at runtime
- config.js: register ai_replace_selection tool
- config-menu.js: add Generate menu (Text→Image, Outpaint); AI Provider Settings under Tools
- modules/help/about.js: updated credits (LaMa, rembg, SAM, InvokeAI, ComfyUI, OpenAI)
- api/capabilities.js: add refreshCapabilities() for post-save cache invalidation
Backend:
- routers/ai_tools.py: POST /api/config — apply provider settings at runtime
without restart (session-scoped, non-persistent; .env for permanence)
https://claude.ai/code/session_01B58MaJCU1R6KwBDJCp8AfN
Claude