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fix: correct comments and cleanup model descriptions

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- Fix Klein text encoder comment to specify correct sizes per variant
- Lock TAESD decode logging behind SD_PREVIEW_DEBUG env var
- Fix misleading comment about FLUX.2 128-channel reshape (is fallback)
- Remove VRAM requirements from model descriptions in reference files
This commit is contained in:
CalamitousFelicitousness
2026-01-16 03:24:39 +00:00
parent 5e2bc01367
commit eaa8dbcd42
4 changed files with 12 additions and 8 deletions
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html/reference.json
+3 -3
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@@ -127,7 +127,7 @@
"Black Forest Labs FLUX.2 Klein Base 4B": {
"path": "black-forest-labs/FLUX.2-klein-base-4B",
"preview": "black-forest-labs--FLUX.2-klein-base-4B.jpg",
"desc": "FLUX.2-klein-base-4B is the undistilled 4 billion parameter base model of FLUX.2-klein. Requires 50 inference steps for full quality but offers flexibility for fine-tuning. Fits in ~13GB VRAM. Supports text-to-image and multi-reference editing. Apache 2.0 licensed.",
"desc": "FLUX.2-klein-base-4B is the undistilled 4 billion parameter base model of FLUX.2-klein. Requires 50 inference steps for full quality but offers flexibility for fine-tuning. Supports text-to-image and multi-reference editing. Apache 2.0 licensed.",
"skip": true,
"extras": "sampler: Default, cfg_scale: 4.0, steps: 50",
"size": 8.5,
@@ -136,7 +136,7 @@
"Black Forest Labs FLUX.2 Klein Base 9B": {
"path": "black-forest-labs/FLUX.2-klein-base-9B",
"preview": "black-forest-labs--FLUX.2-klein-base-9B.jpg",
"desc": "FLUX.2-klein-base-9B is the undistilled 9 billion parameter base model of FLUX.2-klein. Requires 50 inference steps for full quality but offers flexibility for fine-tuning. Requires ~29GB VRAM. Supports text-to-image and multi-reference editing. Non-commercial license.",
"desc": "FLUX.2-klein-base-9B is the undistilled 9 billion parameter base model of FLUX.2-klein. Requires 50 inference steps for full quality but offers flexibility for fine-tuning. Supports text-to-image and multi-reference editing. Non-commercial license.",
"skip": true,
"extras": "sampler: Default, cfg_scale: 4.0, steps: 50",
"size": 18.5,
@@ -146,7 +146,7 @@
"Z-Image-Turbo": {
"path": "Tongyi-MAI/Z-Image-Turbo",
"preview": "Tongyi-MAI--Z-Image-Turbo.jpg",
"desc": "Z-Image-Turbo, a distilled version of Z-Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It offers sub-second inference latency on enterprise-grade H800 GPUs and fits comfortably within 16G VRAM consumer devices. It excels in photorealistic image generation, bilingual text rendering (English & Chinese), and robust instruction adherence.",
"desc": "Z-Image-Turbo, a distilled version of Z-Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It excels in photorealistic image generation, bilingual text rendering (English & Chinese), and robust instruction adherence.",
"skip": true,
"extras": "sampler: Default, cfg_scale: 1.0, steps: 9",
"size": 20.3,