MOSS-Image (Flux.2 latent: 128ch, 16 px per cell) jobs were built with the
SD-era `h // 8`, so every image sampled a latent with 4x the cells and decoded
at 2x the requested size (832x1216 -> 1664x2432): ~10x slower than the official
ComfyUI template (~120 s vs ~10 s per image on the 5060 Ti).
- model_loader: get_latent_downscale_ratio() reads latent_format.spacial_downscale_ratio
(8 for SD/SDXL/Flux.1, 16 for the Flux.2 family); make_empty_latent() builds the
job latent and warns when WxH is not a multiple of the ratio. Both orchestrator
latent sites (main loop + distributed worker) use it; hires-fix latent upscale,
tiled hires sampling and VAE tiling divisors no longer assume 8.
- CLIP type: resolve_clip_type() warns on unknown types instead of silently using
stable_diffusion, and when clip_type is left at the default it follows the
detected model family (MOSSImage -> moss_image, Flux2 -> flux2, ...). MOSS loaded
as a generic Qwen3.5 TE before (wrong chat template). The Builder's CLIP Type
list is now read from ComfyUI's CLIPLoader/DualCLIPLoader (static list = fallback,
now including moss_image); LS_CACHE_VERSION 3 refreshes cached lists.
- Skip Layer Guidance: new Extra Model & Sampling sub-group wrapping
SkipLayerGuidanceDiTSimple (double/single layers, start/end %), plumbed like Deep
Shrink (builder emission, expand_configs, orchestrator, generate_image). Defaults
match the official MOSS-Image workflow (single block 22, 0-50%).
- tests: latent geometry + clip type resolution, dynamic clip type lists, SLG
config emission/expansion (24 new; the 15 pre-existing torch-stub failures unchanged).
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Adds a new SUB-GROUP 4 in the Builder UI's "Extra Model & Sampling
Options" section with all 7 params from ComfyUI's built-in
PatchModelAddDownscale node:
- block_number (int, default 3)
- downscale_factor (float, default 2.0)
- start_percent / end_percent (float 0-1, default 0.0 / 0.35)
- downscale_after_skip (bool, default true)
- downscale_method / upscale_method (combo: bicubic/nearest-exact/
bilinear/area/bislerp, default bicubic)
Toggle checkbox controls whether the patch is applied. State plumbs:
config_array.use_deep_shrink/* (JS) -> state_to_configs_json -> per-
config entries -> expand_configs base_combos -> generate_image -> looks
up PatchModelAddDownscale via NODE_CLASS_MAPPINGS and calls .patch() to
patch the model before sampling. Logs an "Applied
PatchModelAddDownscale" line on each gen for visibility.
Mirrors the existing model_sampling_override / use_advanced_sampling
patterns for consistency. Hidden on LTX video config arrays since the
patch targets the SDXL/SD UNet.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
User reported that changing seed in the Revise modal had no effect —
the new seed was overwritten and the orchestrator's check_if_job_completed
matched the original item's seed, skipping the gen.
Root cause: config_utils.expand_configs unconditionally wrote
"seed": <global node seed> for every config, ignoring entry["seed"]
from the configs_json. Builder UI doesn't emit entry["seed"] (it relies
on the node-level seed widget), so this regression only surfaced when
something else explicitly set per-entry seed — exactly what triggerGen
does.
Fix: use entry["seed"] when present and non-empty, otherwise fall back
to the global seed. Builder UI flow unchanged.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replace flat upscale configs with pipeline/steps/repeat architecture:
- Pipelines run independently from base image
- Steps chain sequentially within a pipeline
- Steps support repeat count for iterative refinement
Add "Save Pre-Upscaled Output" option to also keep the base image.
Add "Adjust Prompt During HiRes Fix" with prepend/append/replace
behaviors. HiRes-adjusted prompts are batch pre-encoded for efficiency.
Results written to manifest metadata and exposed as label overlays.
Fix fmtVal scoping error in buildLabelOverlay (was referenced outside
the upscale block where it was defined).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Seed: expanded per-gen behavior + new full run seed behavior (random/increment/decrement before/after entire run)
- Canvas: fix flicker during simultaneous pan+zoom via requestAnimationFrame batching
- Upscaling: 3 session-level modes (HiRes fix, model upscale, model+HiRes) with tiled VAE support
- Cooldown: configurable GPU breaks between generations with optional VRAM clearing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Each config array can now have its own resolution list displayed as chips with
categorized preset dropdown (SD 1.5/SDXL/Flux × Square/Portrait/Landscape) plus
custom W×H input. Resolutions flow through configs_json, expand in the Cartesian
product, and override the sampler's global resolutions_json on a per-config basis.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
