Former names 曾用名: ppt-master-qwen-image-2-1 · ppt-master-zit — renamed 2026-10-13; the fork is defined by its local ComfyUI backend, not by any single model.

Upstream lock 上游锁定: this fork is rebased onto official ppt-master v6.8.0 (MIT, Hugo He). Fork releases are tagged v<upstream>-comfyui.<n> (v6.7.0-comfyui.1 shipped the MOSS + interview-gate baseline, v6.7.0-comfyui.2 the manifest-resume + rendered-output gate; the current build is v6.8.0-comfyui.1); pin those tags instead of main if you need a stable point. A GitHub Actions smoke workflow runs the GPU-free unit tests (backend, export regressions, manifest resume) on every push.

English · 中文

PPT Master + local ComfyUI image backend. This is a personal-machine fork of ppt-master (v6.8.0, MIT, Copyright © 2025-2026 Hugo He). The entire editable-PPTX generation workflow is identical to upstream; the one difference is that AI slide imagery defaults to your local ComfyUI running the Qwen-Image-2.1 text-to-image workflow — no API key, no cost, nothing leaves your machine. Two more local workflows are selectable per deck: MOSS-Image SFT for literal, layout-steerable art, and the legacy "zit基础" (Z-Image Turbo) for speed.

New / modified files:

• scripts/image_backends/backend_comfyui.py — ComfyUI HTTP API backend: prompt injection (CLIPTextEncode or TextEncodeQwenImage21), resolution computed from aspect_ratio × image_size (nearest multiple of 32), fresh random seed per run, node-level failure reporting, trust_env=False direct connection (immune to system proxy interception)
• templates/comfyui/qwen_image_2_1_t2i_api.json — API-format export of the image_qwen_image_2_1_t2i workflow (Qwen-Image-2.1 official path: steps 25 / cfg 1 / euler / simple; native RGBA transparency via prompt wrapping)
• templates/comfyui/moss_image_sft_api.json — MOSS-Image SFT workflow (steps 50 / cfg 3 / euler / sgm_uniform / shift 5 through ModelSamplingAuraFlow, uncond-skip at layer 22; opaque RGB)
• templates/comfyui/zit_basic_api.json — legacy "zit基础" workflow (Z-Image Turbo: steps 8 / cfg 1 / res_multistep / simple / shift 3), selectable via COMFY_WORKFLOW
• scripts/image_gen.py — registers the comfyui backend (aliases: comfy / zit / moss)
• references/image-generator.md §4.5 — the local-backend contract: the three-model table, the once-per-deck model question and its D5 carve-out, prompting rules (natural language, 1–4 sentences, mandatory no-text clause), and the MOSS rule that hands prompt authoring to the sibling moss-image-prompt-enhancer skill
• workflows/interview-gate.md — the per-decision interview gate (D0–D9): outline, page count, per-page content, transitions, per-element animation, image usage + local model, playback and deliverables are each confirmed with the user before the existing gates; D5 carries the model choice and the 1K/2K cost rule, so the model is asked once and never re-opened at image time
• Rendered-output verification gate (workflows/generate-pptx.md) — after export, convert to PDF (soffice, headless) and read every page image (pymupdf) before claiming a deck is done; the checklist names the four failure classes the SVG checker cannot see
• PPTX bullet fixes (scripts/svg_to_pptx/) — generated prose no longer inherits the slide master's bodyStyle bullet: every paragraph writes an explicit buNone + zeroed indent, the master's default bullets are cleared, and the scope now covers object slots and plain text boxes, not just body/subtitle
• Manifest resume (scripts/image_gen.py) — a prompt+size+model signature sidecar (.image_gen_state.json) survives pipeline rewrites of image_prompts.json, so editing one prompt no longer re-renders the whole deck; --force still regenerates everything
• scripts/prompt_audit.py + manifest — maintainer-only, read-only budget lint for the agent-facing Markdown corpus (needs tiktoken and a repo-shaped checkout; never loaded during generation)
• references/qwen-image-2-1-prompting.md + templates/qwen_prompt_skeletons.md — the official-case prompting manual (decision flow, layered skeleton, text-locked / edit / multi-ref / storyboard recipes, alpha verification discipline) and its five fill-in skeletons, distilled from modelscope.cn/posts/436932
• scripts/test_backend_comfyui_smoke.py, test_export_regressions.py, test_manifest_resume.py + .github/workflows/smoke.yml — GPU-free unit tests (dimension resolution, placeholder injection, backend registry, sampler-override warnings, inherited bullets, manifest resume) run on every push to scripts/
• .env.example / .gitignore / README.md — local config docs; personal .env is never committed

Everything else matches upstream v6.8.0 (including glyph-accurate text measurement, native chart/table mirroring, the v6.7.1–v6.7.3 live-preview draft persistence, source-import overwrite guards and Edit-Native round-trip fixes, and the v6.8.0 in-place chart patching, any-W:H aspect ratios and Retry-After handling), plus the four local export fixes behind the rendered-output gate: explicit buNone on generated prose, cleared Master bodyStyle bullets, bullet scope extended past body/subtitle, and the multiline-carrier contract.

1. Install ComfyUI (any distribution or integrated pack) with the Qwen-Image-2.1 models in place:
   • diffusion_models/qwen image 2.1/qwen_image_2.1_int8_convrot.safetensors (or bf16)
   • text_encoders/qwen3vl_8b_int8_convrot.safetensors
   • vae/qwen_image_2.1_vae_bf16.safetensors (models from Comfy-Org/Qwen-Image-2.1; weights are free but the Qwen Research License bars commercial use without a separate agreement) Optional, only if you want the other two workflows: MOSS-Image SFT needs moss_image_sft_int8_convrot.safetensors + a Qwen3.5 9B text encoder + flux2-vae.safetensors, and Z-Image Turbo needs its own UNET/CLIP/VAE set — see §4.5 for the exact node names the shipped templates expect.
2. Drop this folder into your agent's skills directory (e.g. ~/.hermes/skills/, ~/.agents/skills/), or use it with any agent that can execute Python.
3. Copy .env.example to .env and set at least:

   IMAGE_BACKEND=comfyui
   COMFY_MODEL=qwen                     # qwen | moss | zit
   COMFY_ROOT=C:/path/to/ComfyUI-aki-v3   # integration root containing python\python.exe and ComfyUI\main.py

4. Done. ComfyUI does not even need to be running — the backend detects 127.0.0.1:8188 being down, auto-starts the integration pack, and opens the ComfyUI web UI in your browser (set COMFY_OPEN_BROWSER=0 to stay headless).

Manual smoke test:

python scripts/image_gen.py "students collaborating in a bright classroom, flat illustration, warm tones, Strictly no text, no letters, no numbers, no watermarks anywhere." \
  --backend comfyui --aspect_ratio 16:9 --image_size 1K -o ./out

These are the Qwen-Image-2.1 rules. For COMFY_MODEL=moss, prompts are authored by the sibling moss-image-prompt-enhancer skill instead (§4.5 owns that contract); for zit, drop the RGBA wrapper and keep the no-text clause.

• House default: every deck asset is 16:9 RGBA — subject cutouts, section art, and background decorations all carry real alpha and drop onto any slide color without a white box
• Three-slot wrapper on every prompt: This is an RGBA format image with transparency. → natural-language description → The image has an alpha channel and a transparent background.; middle text in Chinese or English, no tag soup
• Layout is steerable through alpha: name the empty zone ("the center and left area must be completely empty, reserved for slide text") and it comes back transparent
• Three recipes: A subject cutout hugging one third · B edge-frame decoration with emptied center · C atmosphere shape layer (author the shape fully; set layer opacity in SVG/PPTX compositing — the model ignores "max N% opacity" numbers)
• Paint in the deck's own palette family so semi-transparent edges composite invisibly on the slide background
• Keep cfg at 1 (official path); negative prompts have no effect there
• Every prompt must end with "画面中不出现任何文字、字母、数字或水印" / "Strictly no text, no letters, no numbers, no watermarks anywhere."
• Visually inspect every generated image; re-roll any that contain text

(§4.5 of references/image-generator.md is the authoritative, verified version of these rules.)

MIT — upstream copyright belongs to Hugo He (Copyright © 2025-2026); the local-backend additions in this repository are released under the same MIT terms.

PPT Master + 本机 ComfyUI 配图后端 — 这是 ppt-master (v6.8.0, MIT, Copyright © 2025-2026 Hugo He) 的本机定制分支：整套可编辑 PPTX 生成工作流与官方一致，唯一区别是 AI 配图默认走本机 ComfyUI 的 Qwen-Image-2.1 文生图工作流，不需要任何 API Key。另外两套本机工作流可按 deck 切换：MOSS-Image SFT 擅长字面构图与版式可控，旧「zit基础」（Z-Image Turbo）主打速度。

新增/修改的文件：

• scripts/image_backends/backend_comfyui.py — ComfyUI HTTP API 后端：提示词注入（CLIPTextEncode 或 TextEncodeQwenImage21）、按 aspect_ratio×image_size 计算分辨率（32 的倍数）、每次随机种子、失败节点报错透出、trust_env=False 直连（不受系统代理劫持）
• templates/comfyui/qwen_image_2_1_t2i_api.json — image_qwen_image_2_1_t2i 工作流的 API 格式模板（Qwen-Image-2.1 官方路径：steps 25 / cfg 1 / euler / simple；提示词包裹即可原生出 RGBA 透明图）
• templates/comfyui/moss_image_sft_api.json — MOSS-Image SFT 工作流（steps 50 / cfg 3 / euler / sgm_uniform，shift 5 走 ModelSamplingAuraFlow，第 22 层 uncond-skip；输出不透明 RGB）
• templates/comfyui/zit_basic_api.json — 旧「zit基础」工作流（Z-Image Turbo：steps 8 / cfg 1 / res_multistep / simple / shift 3），经 COMFY_MODEL=zit 切换
• scripts/image_gen.py — 注册 comfyui 后端（别名 comfy / zit / moss）
• references/image-generator.md §4.5 — 本地后端契约：三档模型表、每套 deck 一次的模型提问及其 D5 豁免、提示词规范（自然语言、1–4 句、强制无文字条款），以及把 MOSS 提示词交给同级技能 moss-image-prompt-enhancer 的规则
• workflows/interview-gate.md — 逐项决策门禁（D0–D9）：大纲、页数、每页内容、切换动画、元素动画、配图方式与本地模型、放映节奏、交付物，每项都由用户拍板后再进既有门禁；D5 同时承接模型选择与 1K/2K 成本规则，出图阶段不再重复提问
• 渲染后验收门（workflows/generate-pptx.md）— 导出后先用 soffice 转 PDF、再用 pymupdf 逐页转图并每页都看，才可宣称完成；清单列出 SVG 检查器看不见的四类失败
• PPTX 项目符号修复（scripts/svg_to_pptx/）— 生成的正文不再继承母版 bodyStyle 项目符号：每个段落显式写 buNone + 缩进归零、母版默认符号被清除，作用域从 body/subtitle 扩到 object 槽位与普通文本框
• manifest 断点续跑（scripts/image_gen.py）— 用「提示词+尺寸+模型」签名旁车文件（.image_gen_state.json）跨过流水线对 image_prompts.json 的重写，改一条提示词不再重出整套图；--force 仍可强制全部重出
• scripts/prompt_audit.py + manifest — 仅供维护者的只读提示词预算审计（需 tiktoken 且要求仓库式布局；生成过程从不加载）
• references/qwen-image-2-1-prompting.md + templates/qwen_prompt_skeletons.md — 官方示例库 40 余案例拆解出的提示词手册（决策流、分层骨架、文字锁定/编辑/多参考/分镜配方、alpha 验证纪律）及五套可填空骨架，源出 modelscope.cn/posts/436932
• scripts/test_backend_comfyui_smoke.py、test_export_regressions.py、test_manifest_resume.py + .github/workflows/smoke.yml — 无 GPU 依赖的单元测试（尺寸解析、占位符注入、编码器分辨率跟随档位、后端注册表、采样覆盖告警、继承项目符号、断点续跑），每次推送到 scripts/ 自动执行
• .env.example / .gitignore / README.md — 本机配置文档；含个人路径的 .env 永不入库

其余文件与官方 v6.8.0 一致（含真实字形宽度度量、原生图表/表格镜像导出、v6.7.1–v6.7.3 的 live preview 草稿持久化与源导入防覆盖、Edit Native 往返修复，以及 v6.8.0 的图表原地改写、任意 W:H 宽高比与 Retry-After 限流处理），另加渲染验收门背后的四项本机导出修复：正文显式 buNone、清除母版 bodyStyle 项目符号、符号作用域扩到 body/subtitle 之外、多行载体契约。

1. 安装 ComfyUI（任意发行版/整合包均可），放好 Qwen-Image-2.1 模型：
   • diffusion_models/qwen image 2.1/qwen_image_2.1_int8_convrot.safetensors（或 bf16）
   • text_encoders/qwen3vl_8b_int8_convrot.safetensors
   • vae/qwen_image_2.1_vae_bf16.safetensors （模型来自 Comfy-Org/Qwen-Image-2.1；权重免费下载，但 Qwen Research License 限制商用，需另行申请授权） 可选，仅在你需要另外两档模型时：MOSS-Image SFT 需要 moss_image_sft_int8_convrot.safetensors + Qwen3.5 9B 文本编码器 + flux2-vae.safetensors，Z-Image Turbo 需要它自己的 UNET/CLIP/VAE 组合， 模板期望的确切节点文件名以 §4.5 为准。
2. 把本仓库放进你的 agent skills 目录（如 ~/.hermes/skills/、~/.agents/skills/），或作为任意能执行 Python 的 agent 的技能文件夹。
3. 复制 .env.example 为 .env，至少设置：

   IMAGE_BACKEND=comfyui
   COMFY_MODEL=qwen                     # qwen | moss | zit
   COMFY_ROOT=C:/path/to/ComfyUI-aki-v3   # 含 python\python.exe 与 ComfyUI\main.py 的整合包根目录

4. 完事。ComfyUI 没开也行——后端检测到 127.0.0.1:8188 无响应会自动拉起整合包并在浏览器打开 ComfyUI 界面（COMFY_OPEN_BROWSER=0 可静默）。

手动验证一次出图：

python scripts/image_gen.py "明亮教室里的学生协作，扁平插画，暖色调，画面中不出现任何文字、字母、数字或水印。" \
  --backend comfyui --aspect_ratio 16:9 --image_size 1K -o ./out

以下是 Qwen-Image-2.1 的规则。COMFY_MODEL=moss 时提示词改由同级技能 moss-image-prompt-enhancer 编写（契约见 §4.5）；COMFY_MODEL=zit 时去掉 RGBA 包裹句， 保留强制无文字条款。

• 默认规范：所有 PPT 配图 / 背景图一律 16:9 RGBA——主体插图、章节图、背景装饰都带真实 alpha 通道，直接贴任何底色页面，没有白框
• 三槽包裹：This is an RGBA format image with transparency. → 自然语言描述 → The image has an alpha channel and a transparent background.；中间描述中英皆可，不要标签堆砌
• 布局可通过 alpha 指令控制：明确指定留空区（"画面中央与左侧完全留空透明，预留放文字"），该区域就会真的透明
• 三种配方：A 主体贴边抠图（占三分之一）· B 边缘框饰（中间留空）· C 氛围形状层（模型只画形状，"最大 15% 不透明度"这类数字它不理——透明度在 SVG/PPTX 合成层设置）
• 用演示文稿自己的同色系给 RGBA 素材上色，半透明边缘在页面底色上无痕融合
• cfg 保持 1（官方路径），此时负面词不生效
• 每句必须带「画面中不出现任何文字、字母、数字或水印」
• 出图后逐张目检，有字即改 prompt 重跑 manifest

（权威版本见 references/image-generator.md §4.5，全部结论有实测背书。）

MIT — 版权归上游 Hugo He（Copyright © 2025-2026）；本仓库的本地后端增量同样以 MIT 发布。