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image-cog

AI image generation and photo editing powered by CellCog. Text-to-image, image-to-image, consistent characters, product photography, reference-based generation, style transfer, sets of images, social media visuals, brand assets, stickers, comics, GIFs. Professional image creation with multiple AI models.

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ai-workspace-lab/xworkspace-core-skills
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2026年6月14日 01:25
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SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
image-cog
description
AI image generation and photo editing powered by CellCog. Text-to-image, image-to-image, consistent characters, product photography, reference-based generation, style transfer, sets of images, social media visuals, brand assets, stickers, comics, GIFs. Professional image creation with multiple AI models.
metadata
{"openclaw":{"emoji":"🎨","os":["darwin","linux","windows"],"requires":{"bins":"[Truncated]","env":"[Truncated]"}}}
author
CellCog
homepage
https://cellcog.ai
dependencies
["cellcog"]
# Image Cog - AI Image Generation Powered by CellCog Create professional images with AI - from single images to consistent character sets to product photography. ## How to Use For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more. **OpenClaw (fire-and-forget):** ```python result = client.create_chat( prompt="[your task prompt]", notify_session_key="agent:main:main", task_label="my-task", chat_mode="agent", ) ``` **All agents except OpenClaw (blocks until done):** ```python from cellcog import CellCogClient client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...") result = client.create_chat( prompt="[your task prompt]", task_label="my-task", chat_mode="agent", ) print(result["message"]) ``` --- ## What Models Do We Use | Model | Provider | Primary Use | |-------|----------|-------------| | **Nano Banana 2** (Gemini 3.1 Flash Image) | Google | Default image generation — photorealistic scenes, complex compositions, text rendering, multi-turn character consistency | | **GPT Image 1.5** | OpenAI | Transparent background images — logos, stickers, product cutouts, overlay graphics | | **Recraft** | Recraft AI | Scalable vector illustrations (SVG) and icon generation | **Nano Banana 2** is the default model for all image generation. CellCog's agents intelligently route to other models when the task calls for it — for example, transparent PNGs are automatically handled by GPT Image 1.5, and vector/icon requests go to Recraft. If you'd prefer a specific model, just mention it in your prompt (e.g., *"use ChatGPT/OpenAI image generation"*). ## What Images You Can Create ### Single Image Creation Generate any image from a text description: - **Scenes**: "A cozy coffee shop interior with morning light streaming through windows" - **Portraits**: "Professional headshot of a confident woman in business attire" - **Products**: "Minimalist product shot of a white sneaker on a marble surface" - **Abstract**: "Geometric abstract art in navy and gold" - **Nature**: "Misty mountain landscape at sunrise with a lone hiker" ### Image Editing Transform existing images: - **Style Transfer**: "Transform this photo into a watercolor painting" - **Background Removal**: "Remove the background and place on a clean white backdrop" - **Enhancement**: "Enhance the colors and add dramatic lighting" - **Modification**: "Change the person's outfit to a red dress" ### Consistent Characters Create multiple images of the same character in different scenarios: - **Character Series**: "Create a tech entrepreneur character, then show them: 1) At their desk coding, 2) Presenting to investors, 3) Celebrating a product launch" - **Mascot Variations**: "Design a friendly robot mascot, then create versions for: welcome page, error page, success message, loading screen" - **Story Sequences**: "Create a main character, then illustrate them in 5 scenes of a journey" This is powerful for: - Comic strips and storyboards - Marketing campaigns with consistent characters - Video frame generation - Brand mascots across contexts ### Product Photography Style Professional product visuals: - **Hero Shots**: "Product hero shot of a smartwatch on a gradient background" - **Lifestyle Shots**: "Smartphone being used by a person in a modern living room" - **Flat Lays**: "Flat lay of skincare products with botanical elements" - **360 Views**: "Multiple angles of a leather handbag - front, side, back, detail" ### Sets of Related Images Multiple cohesive images for campaigns or collections: - **Social Media Sets**: "5 Instagram post images for a fitness brand - consistent style, varied content" - **Website Heroes**: "3 hero images for a SaaS landing page - professional, modern, tech-focused" - **Ad Variations**: "4 versions of a product ad with different backgrounds and moods" - **Blog Illustrations**: "Set of 6 illustrations for a blog post about productivity tips" ### Reference-Based Generation Use existing images as references for style, character, or composition: - **Style Matching**: "Create a new image in the same artistic style as this reference" - **Character Consistency**: "Using this person as reference, create a new scene with them hiking" - **Brand Alignment**: "Create product images matching this brand's visual style" - **Composition Reference**: "Create a similar composition but with different subjects" --- ## Image Specifications | Aspect | Options | |--------|---------| | **Aspect Ratios** | 1:1 (square), 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 | | **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) | | **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector | | **Formats** | PNG (default) | **Size recommendations:** - **1K**: Quick iterations, thumbnails, social media posts, drafts - **2K**: Standard web content, presentations, marketing materials - **4K**: Hero images, print materials, final deliverables where detail matters --- ## When to Use Agent Team Mode For image generation, `chat_mode="agent team"` is recommended for: - Complex scenes requiring multiple elements - Consistent character series - Reference-based generation requiring analysis - Sets of related images For simple single images, `chat_mode="agent"` can work faster. --- ## Example Image Prompts **Professional headshot:** > "Create a professional headshot of a friendly Asian woman in her 30s, wearing a navy blazer, soft studio lighting, neutral gray background, confident but approachable expression. 1:1 square, 2K quality, photorealistic." **Product photography:** > "Product shot of a premium wireless earbuds case, matte black finish, on a reflective dark surface with subtle blue accent lighting. Minimalist, high-end tech aesthetic. 4:3 landscape, 4K for hero image." **Consistent character set:** > "Create a character: young Black male software developer, casual style with glasses, friendly demeanor. Then create 4 images: > 1. Working at a standing desk with multiple monitors > 2. In a video call meeting, explaining something > 3. At a coffee shop with laptop, thinking > 4. Celebrating with team, high-fiving > Keep the character exactly consistent across all images." **Social media set:** > "Create 5 Instagram posts for a plant-based meal delivery service: > 1. Colorful Buddha bowl from above > 2. Happy person unpacking delivery > 3. Meal prep containers arranged neatly > 4. Close-up of fresh ingredients > 5. Before/after showing ingredients to finished dish > Style: bright, fresh, appetizing, consistent warm color grading. 1:1 square format." **Style transfer:** > "Transform this uploaded photo of a city street into a Studio Ghibli anime style illustration. Keep the composition and elements but apply the characteristic Ghibli warmth, soft clouds, and whimsical details." --- ## Tips for Better Images 1. **Be descriptive**: "Woman in office" is vague. "Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light" is better. 2. **Specify style**: "Photorealistic", "digital illustration", "watercolor", "minimalist vector". 3. **Describe lighting**: "Soft natural light", "dramatic side lighting", "golden hour glow", "studio lighting". 4. **Include mood**: "Professional and confident", "warm and inviting", "energetic and vibrant". 5. **Mention composition**: "Rule of thirds", "centered symmetry", "close-up", "wide establishing shot". 6. **For consistency**: When creating character series, describe the character in detail first, then reference "the same character" in subsequent prompts. --- ## If CellCog is not installed Run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate. **OpenClaw users:** Run `clawhub install cellcog` instead. **Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.
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