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feat\!: rename baoyu-imagine→baoyu-image-gen, baoyu-image-cards→baoyu-xhs-images (v2.0.0)
BREAKING CHANGE: removed `baoyu-imagine` and `baoyu-image-cards`. All functionality now lives under `baoyu-image-gen` and `baoyu-xhs-images` respectively. Cross-skill `## Image Generation Tools` examples updated across baoyu-article-illustrator, baoyu-comic, baoyu-cover-image, baoyu-infographic, and baoyu-slide-deck. Migration: existing `~/.baoyu-skills/baoyu-imagine/EXTEND.md` configs are auto-renamed to `…/baoyu-image-gen/EXTEND.md` on first run via the legacy-path resolver in `scripts/main.ts`.
This commit is contained in:
Jim Liu 宝玉
@@ -46,19 +46,19 @@ options:
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- label: "Google (Recommended)"
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description: "Gemini multimodal - high quality, reference images, flexible sizes"
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- label: "OpenAI"
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description: "GPT Image - consistent quality, reliable output"
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description: "GPT Image 2 - latest OpenAI image model, reference-image workflows"
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- label: "Azure OpenAI"
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description: "Azure-hosted GPT Image deployments with resource-specific routing"
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- label: "OpenRouter"
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description: "Router for Gemini/FLUX/OpenAI-compatible image models"
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- label: "DashScope"
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description: "Alibaba Cloud - Qwen-Image, strong Chinese/English text rendering"
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- label: "Z.AI"
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description: "GLM-image, strong poster and text-heavy image generation"
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- label: "MiniMax"
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description: "MiniMax image generation with subject-reference character workflows"
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- label: "Replicate"
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description: "Community models - nano-banana-pro, flexible model selection"
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- label: "Z.AI"
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description: "GLM-Image - text-to-image with recommended aspect sizes"
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description: "Curated Replicate image families - nano-banana-2, Seedream, and Wan image models"
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```
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### Question 2: Default Google Model
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@@ -101,10 +101,12 @@ Only show if user selected Azure OpenAI.
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header: "Azure Deploy"
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question: "Default Azure image deployment name?"
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options:
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- label: "gpt-image-1.5 (Recommended)"
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description: "Best default if your Azure deployment uses the same name"
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- label: "gpt-image-1"
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- label: "gpt-image-2 (Recommended)"
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description: "Use if your Azure deployment uses the GPT Image 2 model name"
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- label: "gpt-image-1.5"
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description: "Previous GPT Image deployment name"
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- label: "gpt-image-1"
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description: "Earlier GPT Image deployment name"
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```
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### Question 2d: Default MiniMax Model
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@@ -130,11 +132,9 @@ header: "Z.AI Model"
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question: "Default Z.AI image generation model?"
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options:
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- label: "glm-image (Recommended)"
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description: "Latest GLM-Image, best aspect-ratio coverage and text rendering"
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description: "Best default for posters, diagrams, and text-heavy images"
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- label: "cogview-4-250304"
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description: "Legacy CogView-4 model with 16-pixel size stepping"
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- label: "cogview-4"
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description: "Previous CogView-4 snapshot for compatibility"
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description: "Legacy Z.AI image model on the same endpoint"
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```
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### Question 3: Default Quality
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@@ -177,18 +177,21 @@ default_provider: [selected provider or null]
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default_quality: [selected quality]
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default_aspect_ratio: null
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default_image_size: null
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default_image_api_dialect: null
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default_model:
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google: [selected google model or null]
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openai: null
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azure: [selected azure deployment or null]
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openrouter: [selected openrouter model or null]
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dashscope: null
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zai: [selected Z.AI model or null]
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minimax: [selected minimax model or null]
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replicate: null
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zai: [selected zai model or null]
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---
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```
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If the user selects `OpenAI` but says their endpoint is only OpenAI-compatible and fronts another image model family, save `default_image_api_dialect: ratio-metadata` when they explicitly confirm the gateway expects aspect-ratio `size` plus metadata-based resolution. Otherwise leave it `null` / `openai-native`.
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## Flow 2: EXTEND.md Exists, Model Null
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When EXTEND.md exists but `default_model.[current_provider]` is null, ask ONLY the model question for the current provider.
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@@ -213,10 +216,12 @@ options:
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header: "OpenAI Model"
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question: "Choose a default OpenAI image generation model?"
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options:
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- label: "gpt-image-1.5 (Recommended)"
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description: "Latest GPT Image model, high quality"
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- label: "gpt-image-2 (Recommended)"
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description: "Latest GPT Image model, flexible sizes up to 4K, high-fidelity image inputs"
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- label: "gpt-image-1.5"
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description: "Previous GPT Image model"
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- label: "gpt-image-1"
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description: "Previous generation GPT Image model"
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description: "Earlier GPT Image model"
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```
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### Azure Deployment Selection
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@@ -225,8 +230,10 @@ options:
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header: "Azure Deploy"
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question: "Choose a default Azure image deployment name?"
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options:
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- label: "gpt-image-1.5 (Recommended)"
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description: "Use when your Azure deployment name matches the GPT-image-1.5 model"
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- label: "gpt-image-2 (Recommended)"
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description: "Use when your Azure deployment name matches the GPT Image 2 model"
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- label: "gpt-image-1.5"
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description: "Use when your Azure deployment name matches the GPT Image 1.5 model"
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- label: "gpt-image-1"
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description: "Use when your Azure deployment name matches GPT-image-1"
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```
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@@ -264,6 +271,10 @@ options:
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description: "Legacy Qwen model with five fixed output sizes"
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- label: "qwen-image-plus"
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description: "Legacy Qwen model, same current capability as qwen-image"
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- label: "wan2.7-image-pro"
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description: "Wan 2.7 Pro — supports up to 4K text-to-image and reference-image editing"
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- label: "wan2.7-image"
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description: "Wan 2.7 base — faster generation, up to 2K, supports reference-image editing"
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- label: "z-image-turbo"
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description: "Legacy DashScope model for compatibility"
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- label: "z-image-ultra"
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@@ -274,18 +285,41 @@ Notes for DashScope setup:
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- Prefer `qwen-image-2.0-pro` when the user needs custom `--size`, uncommon ratios like `21:9`, or strong Chinese/English text rendering.
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- `qwen-image-max` / `qwen-image-plus` / `qwen-image` only support five fixed sizes: `1664*928`, `1472*1104`, `1328*1328`, `1104*1472`, `928*1664`.
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- `wan2.7-image-pro` and `wan2.7-image` are the only DashScope models that accept `--ref`. Pick one of these when the user wants reference-image editing or multi-image fusion via DashScope.
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- In `baoyu-image-gen`, `quality` is a compatibility preset. It is not a native DashScope parameter.
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### Z.AI Model Selection
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```yaml
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header: "Z.AI Model"
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question: "Choose a default Z.AI image generation model?"
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options:
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- label: "glm-image (Recommended)"
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description: "Current flagship image model with better text rendering and poster layouts"
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- label: "cogview-4-250304"
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description: "Legacy model on the sync image endpoint"
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```
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Notes for Z.AI setup:
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- Prefer `glm-image` for posters, diagrams, and Chinese/English text-heavy layouts.
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- In `baoyu-image-gen`, Z.AI currently exposes text-to-image only; reference images are not wired for this provider.
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- The sync Z.AI image API returns a downloadable image URL, which the runtime saves locally after download.
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### Replicate Model Selection
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```yaml
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header: "Replicate Model"
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question: "Choose a default Replicate image generation model?"
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options:
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- label: "google/nano-banana-pro (Recommended)"
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description: "Google's fast image model on Replicate"
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- label: "google/nano-banana"
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description: "Google's base image model on Replicate"
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- label: "google/nano-banana-2 (Recommended)"
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description: "Current default for general Replicate image generation in baoyu-image-gen"
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- label: "bytedance/seedream-4.5"
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description: "Replicate Seedream 4.5 with validated local size/ref guardrails"
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- label: "bytedance/seedream-5-lite"
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description: "Replicate Seedream 5 Lite with validated local size/ref guardrails"
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- label: "wan-video/wan-2.7-image-pro"
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description: "Replicate Wan 2.7 Image Pro with 4K text-to-image support"
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```
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### MiniMax Model Selection
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@@ -306,27 +340,6 @@ Notes for MiniMax setup:
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- `image-01-live` is useful when the user prefers faster generation and can work with aspect-ratio-based sizing.
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- MiniMax subject reference currently uses `subject_reference[].type = character`; docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB.
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### Z.AI Model Selection
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```yaml
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header: "Z.AI Model"
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question: "Choose a default Z.AI image generation model?"
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options:
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- label: "glm-image (Recommended)"
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description: "Latest GLM-Image; pixels round to multiples of 32 and cap at 2^22"
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- label: "cogview-4-250304"
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description: "Legacy CogView-4 snapshot with 16-pixel size stepping"
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- label: "cogview-4"
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description: "Earlier CogView-4 snapshot for compatibility"
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```
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Notes for Z.AI setup:
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- Set `ZAI_API_KEY` (or legacy `BIGMODEL_API_KEY`) from https://docs.z.ai/.
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- `glm-image` supports recommended aspect sizes (1280x1280, 1728x960, 1568x1056, …); uncommon ratios auto-fit to the 2^22 pixel budget on multiples of 32.
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- Legacy CogView models use 16-pixel stepping and cap at 2^21 pixels per image.
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- Z.AI does not accept reference images or `n > 1` in `baoyu-image-gen`; use Google/OpenAI providers for those workflows.
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### Update EXTEND.md
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After user selects a model:
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@@ -342,9 +355,9 @@ default_model:
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azure: [value or null]
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openrouter: [value or null]
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dashscope: [value or null]
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zai: [value or null]
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minimax: [value or null]
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replicate: [value or null]
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zai: [value or null]
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```
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Only set the selected provider's model; leave others as their current value or null.
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