transformers 5.0 removed BertModel.get_head_mask (it was on the legacy
4.x API). comfyui_segment_anything's GroundingDINO bertwarper.py still
calls bert_model.get_head_mask in __init__, so first inpaint crashes
with AttributeError. Pinned transformers>=4.40,<5 in two places:
- Dockerfile: applied AFTER the custom node's requirements.txt
install so it wins on a fresh image build.
- install-custom-node-deps.sh entrypoint: re-applied at every
container start so any future custom-node install (via
ComfyUI-Manager or volume clone) that pulls a newer transformers
transitively gets pinned back into the working range.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Five pieces:
1. Dockerfile installs storyicon/comfyui_segment_anything (GroundingDINO
+ SAM-HQ in one bundle) into custom_nodes and pip-installs its
requirements at build time. Model weights auto-download to the
comfyui-models volume on first inpaint (~3 GB one-time cost).
2. install-custom-node-deps.sh — entrypoint wrapper that pip-installs
requirements.txt for any custom_node present at startup. Lets users
add custom nodes via ComfyUI-Manager (or by git-cloning into the
volume) and have the deps picked up on the next restart, without
editing the Dockerfile.
3. smart_image_gen v0.6: edit_image gains a `mask_text` param. When
set, builds an inpainting workflow (LoadImage → GroundingDinoSAM
Segment → SetLatentNoiseMask → KSampler) so only the named region
is repainted. When unset, falls through to the existing img2img
path. Denoise default switches: 1.0 with mask_text (full repaint
within mask), 0.7 without.
4. Image Studio system prompt teaches the LLM the LOCAL vs GLOBAL
distinction — set mask_text whenever the user names a specific
object/region ('the ball', 'the dog', 'the sky'); leave it unset
only for whole-image style/lighting transformations.
5. Deployment README documents the new mode + the first-inpaint
weight-download caveat.
Image rebuild required — bump tag to pick up the Dockerfile change.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replaces the figment/segment/Forge stack with a single ComfyUI backend
fronted by Open WebUI's native ComfyUI integration. ComfyUI is built from
the official manual install for NVIDIA. Ships txt2img and img2img workflow
templates plus matching node-mapping JSONs that paste into Open WebUI's
admin panel.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
