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<h1 align="center">GPT Image 2/2.5 Prompt Gallery + Agent Skills + CLI</h1> <p align="center"><em>Prompts, reference images, two agent skills and a CLI for GPT Image 2 and 2.5.</em></p>
<p align="center"> <a href="README.md"><strong>English</strong></a> · <a href="README.zh.md">中文</a> </p>
<p align="center"> <a href="https://github.com/wuyoscar/gpt_image_2_skill/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License: MIT"/></a> <a href="https://github.com/wuyoscar/gpt_image_2_skill/pulls"><img src="https://img.shields.io/badge/PRs-welcome-brightgreen.svg" alt="PRs Welcome"/></a> <img src="https://img.shields.io/badge/models-GPT%20Image%202%20%2F%202.5-purple.svg" alt="Models: GPT Image 2 / 2.5"/> <img src="https://img.shields.io/badge/python-%E2%89%A53.11-blue.svg" alt="Python ≥ 3.11"/> </p>
<p align="center"> <a href="docs/assets/gptimage2skill-banner.png"><img src="docs/assets/gptimage2skill-banner.png" alt="GPTImage2Skill banner" width="100%"/></a> </p>
<p align="center"> <a href="#overview">Overview</a> · <a href="#sunburst-samples">2.5 samples</a> · <a href="#image-example">Example</a> · <a href="#quickstart">Quick start</a> · <a href="#install">Install</a> · <a href="#cli-reference">CLI reference</a> · <a href="#guides">Guides</a> · <a href="#gallery-index">Gallery</a> · <a href="#community">Contribute</a> </p>
<a id="overview"></a>
<table border="1" cellspacing="0" cellpadding="6"> <tr> <th align="left">Item</th> <th align="left">Value</th> </tr> <tr> <td>Gallery size</td> <td><strong>163 numbered entries</strong> across 31 categories, with selected images below</td> </tr> <tr> <td>Surfaces</td> <td><strong>2 Agent Skills + CLI</strong>: Claude Code / Codex, OpenClaw, Hermes Agent and other skill-capable agent runtimes</td> </tr> <tr> <td>Last update</td> <td><strong>2026-09-10</strong></td> </tr> <tr> <td>Docs</td> <td><strong>English + 中文</strong></td> </tr> </table>
The repo keeps the GPT Image 2 prompt collection and gallery alongside 2.5 API support, reading material and task-specific references. The two skills handle image generation/editing and image-to-prompt extraction.
TBH, GPT Image 2.5 feels seriously capable. I prefer giving it a clear reference: a shape, a sketch or an image. Sometimes showing a layout from a PDF is more useful than describing it at length. It's how I like to work with GPT-6, too: minimize the prompt; make the reference clear.
>
I collect prompts, useful building blocks and references here to help you find a workflow that suits the job. Thanks for all the love this little gallery has received 🫶.
For the CLI, export the relevant PDF pages as PNG, WebP or JPG, then attach them with -i. See the supported image-reference formats. Keep required text and edit constraints explicit.
For PPT work, try vector-style diagrams, icons and slide layouts. The Image API outputs PNG, JPEG or WebP; editable SVG or PowerPoint shapes need a separate authoring step.
<a id="sunburst-samples"></a>
Two 2K samples: an exploded watch assembly with detailed callouts, and a multi-storey cafe cutaway built from a reference image. Both use gpt-image-2.5-sunburst, 2048x2048 and high.
<table> <tr> <td width="50%" align="center" valign="top"> <a href="docs/technical-illustration/meridian8-sunburst.png"><img src="docs/technical-illustration/meridian8-sunburst.png" width="100%" alt="Sunburst exploded mechanical watch with numbered component callouts"/></a> <sub>A · Meridian 8 exploded assembly<br/>2048x2048 · high · Curated</sub> </td> <td width="50%" align="center" valign="top"> <a href="docs/isometric/cafe-cutaway-sunburst.png"><img src="docs/isometric/cafe-cutaway-sunburst.png" width="100%" alt="Sunburst isometric cafe district with illuminated cutaway interiors"/></a> <sub>B · Night cafe cutaway<br/>2048x2048 · high · Curated adaptation</sub> </td> </tr> </table>
A · [No. 113](skills/gpt-image/references/gallery-technical-illustration.md) · Prompt
Create a premium technical exploded-view illustration of a fictional mechanical wristwatch called the Meridian 8, centered on a dark slate background with fine blueprint grid accents. Show the watch components separated vertically with precise spacing: sapphire crystal, dial, hands, chapter ring, movement plates, escapement, balance wheel, mainspring barrel, case, crown, and leather strap sections. Use realistic brushed steel, brass, ruby jewel accents, and deep navy dial details. Add crisp callouts and labels with the in-image text "Meridian 8", "Exploded Assembly", "42 mm Case", "25 Jewels", and "Power Reserve 72 h". Include numbered callouts "01" through "10" with short labels like "Balance Wheel", "Mainspring Barrel", and "Sapphire Crystal". The result should be highly detailed, technically believable, sharply rendered, and suitable for an industrial design plate with clean hierarchy, exact labeling, and refined material realism.B uses the reference from No. 54, keeping the overall street layout while reworking the interiors, floors and lighting. Reference attribution: EvoLinkAI · Source.
<a href="docs/isometric/isometric-cafe.png"><img src="docs/isometric/isometric-cafe.png" width="320" alt="Original isometric cafe district used as the edit reference"/></a>
B · [No. 54](skills/gpt-image/references/gallery-isometric.md) · Edit prompt
Use the reference image as the layout anchor for a richly detailed isometric two-block cafe district at blue hour. Keep the street footprint, corner cafe, neighboring bookstore, bakery and fountain plaza recognizable. Transform it into a three-storey architectural cutaway diorama with coherent 30-degree isometric geometry.
Open the front-facing walls to reveal the cafe espresso bar and upstairs jazz lounge; bookshelves, reading nooks and a spiral staircase in the bookstore; pastry cases and a working oven in the bakery. Add a rooftop glass greenhouse, tiny terraces, copper plumbing, tiled stairs, balconies, hanging plants and warm lights visible through rain-speckled windows. At street level show wet cobbles, bicycles, the coffee cart, varied miniature pedestrians and reflections around the fountain. Every floor, doorway and staircase should connect plausibly.
Use warm amber interiors against deep teal evening shadows, tactile brick, glazed tiles, glass and brushed brass. Preserve crisp detail throughout the scene, with a clean dark navy background and room around the floating diorama. Give the scene depth through cutaway rooms and layered architecture. Use restrained, readable storefront lettering: "NIGHT OWL CAFE", "OPEN BOOKS", and "DAWN BAKERY". Keep the composition square and visually balanced.See the sample record for settings, inputs and review notes.
<a id="image-example"></a>
Thanks to @LunarXuan for Get Prompt from Image. A vision-capable agent extracts a prompt from a reference image, then passes it to gpt-image or another generator. The contributor-provided reference and its generated result are shown below.
<table> <tr> <td width="50%" align="center" valign="top"> <img src="docs/illustration/get-prompt-from-image-reference.jpg" width="100%" alt="Contributor-provided snowy urban alley reference image"/> <sub>Reference image · Contributor-provided</sub> </td> <td width="50%" align="center" valign="top"> <img src="docs/illustration/get-prompt-from-image-result.png" width="100%" alt="ImageGen result generated from the reverse-engineered prompt"/> <sub>Generated result · ImageGen output</sub> </td> </tr> </table>
Attach an image and invoke the skill with a slash command, $get-prompt-from-image, or plain language:
/get-prompt-from-image
Extract a reusable English positive prompt and a targeted negative prompt from this image, then recreate it with gpt-image.📝 Extracted prompt used for the generated result
Positive Prompt
~~~text A highly polished semi-realistic Japanese narrative illustration rendered in a painterly digital style, using varied brush widths, a combination of hard edges and soft transitions, restrained contour lines, and controlled surface texture. The image should feel like a cold cinematic game-concept artwork. Use a wide 16:9 composition with strong depth in a snowy urban alley, where the snow-covered road narrows toward a distant vanishing point near the center. Place a large fluffy dark blue-gray wolfdog in the left foreground, shown in side profile facing right with its head raised, interacting with a hooded young woman kneeling near the center-right. She crouches in the snow facing left, gently touching the wolfdog’s muzzle or forehead with one gloved hand while the other rests near her knee for balance, creating a restrained and intimate gesture. She wears an oversized pale-gray winter hooded jacket with pointed ear-like details on top, dark gray panels, pockets, straps, and small muted red-orange accents, over black clothing, fitted black pants, and heavy dark boots. Short black or deep-brown hair falls from beneath the hood; her face is partly shadowed as she looks down at the wolfdog with a quiet, tired, yet gentle expression. Render the wolfdog’s fur with layered directional brushstrokes, making the back, neck, and tail thick and voluminous, with cool blue-gray shadows, pale highlights, and a subtle rim light along the silhouette. On the left, include metal fencing, utility boxes, and dense dark shrubs; in the distance, show tall urban buildings, street lamps, utility poles, and a blue-gray sky. On the right, include dark building facades, windows, snow-covered roof edges, evergreen branches, and foreground cardboard boxes and industrial clutter. Any environmental labels should remain blurred graphic marks with no readable text. Let the main light enter from the distant upper-left side of the alley, combining cold blue ambient shadows with warm golden reflections in the distance. Add subtle rim light to the snow, the woman, and the wolfdog, with medium-high contrast and warm orange clothing details acting as focal accents. Snow, slush, and shallow puddles in the foreground should show damp reflections. Use atmospheric perspective to soften distant buildings while keeping the woman and wolfdog clear. Establish depth through foreground, middle ground, background, occlusion, and perspective lines rather than strong blur. The mood is loneliness, trust, and a brief moment of tenderness in a frozen city. Preserve rough painterly strokes, cool-warm contrast, cinematic composition, and refined post-processing. Clearly remain a 2D semi-realistic painterly illustration, not photography, pure flat vector art, or 3D rendering. ~~~
Negative Prompt
~~~text photorealistic, 3D render, flat vector style, pure cel shading, watercolor bleed, oil painting impasto, chibi proportions, deformed anatomy, malformed hands, extra limbs, oversized wolf, sunny summer weather, cluttered composition, readable text, watermark ~~~
<a id="quickstart"></a>
| Task | Use |
|---|---|
| Generate or edit an image | gpt-image |
| Extract a prompt from a reference | get-prompt-from-image |
| Work in a terminal | CLI examples below, with the selected --model |
| Model | Best starting point |
|---|---|
gpt-image-2.5-flare | Fast, high-quality everyday generation |
gpt-image-2.5-sunburst | Precise edits and reference-image workflows |
gpt-image-2 | Retain the model used by existing workflows |
The Skill offers this menu when the model is missing or ambiguous (for example, “GPT 2.5”), then confirms the choice before generating. An exact supported model choice proceeds directly. It always passes an explicit --model; the standalone CLI still defaults to gpt-image-2. Changing models or adding outputs requires the user's approval.
Both 2.5 models add --quality xhigh / max and support transparent PNG/WebP output. Start with low drafts; higher quality can increase latency and cost. For example, after choosing Flare:
gpt-image --model gpt-image-2.5-flare \
-p "An original flat leaf icon, centered with generous padding, transparent background" \
--quality medium --background transparent --format png -f leaf.pngSee model compatibility and verification notes and GPT Image 2.5 prompt templates. Local output validation for these templates is pending. Existing gallery images keep their original model and source credits.
After install, every gallery entry below can be copy-pasted as gpt-image --model <CHOSEN_MODEL> -p "…" or requested from any skill-capable agent runtime in natural language, e.g. "generate the Boston Spring poster from the skill gallery".
gpt-image --model gpt-image-2.5-flare -p "a photorealistic convenience store at 10pm" --size 1k --quality high -f store.pngUnder the hood: POST /v1/images/generations with the explicitly selected model.
# Single-reference edit / restyle
gpt-image --model gpt-image-2.5-sunburst -p "Make it a winter evening with heavy snowfall" \
-i chess.png --quality high -f chess-winter.png
# Multi-reference edit: the edits endpoint accepts multiple input images
gpt-image --model gpt-image-2.5-sunburst -p "Place the dog from image 2 next to the woman in image 1. Match the same lighting, composition, and background. Do not change anything else." \
-i woman.png -i dog.png --size portrait --quality medium -f woman-with-dog.png
# Mask-based inpaint: opaque = keep, transparent = regenerate
gpt-image --model gpt-image-2.5-sunburst -p "replace sky with aurora" \
-i photo.jpg -m sky_mask.png -f aurora.pngUnder the hood: POST /v1/images/edits (multipart form). GPT Image 2 and both 2.5 models use this endpoint, with multiple -i inputs and an optional -m mask. Read results from data[].b64_json and omit response_format. See model compatibility.
<a id="install"></a>
Choose either skill or install both: gpt-image generates and edits images, while get-prompt-from-image extracts prompts from reference images.
Check for an existing skill or CLI before installing. Preserve existing skill folders and API-key files. Use your runtime's skill list/status command when available, and ask before installing into a global or shared directory.
command -v gpt-image || true
command -v uv >/dev/null && uv tool list | grep -E '^gpt-image-cli([[:space:]]|$)' || true
test -n "${OPENAI_API_KEY:-}" && echo "OPENAI_API_KEY is already set (value hidden)"<details> <summary><strong>Claude Code</strong></summary>
/plugin marketplace add wuyoscar/gpt_image_2_skill
/plugin install gpt-image@wuyoscar-skills</details>
<details> <summary><strong>Codex</strong></summary>
Codex ships with built-in skill helpers such as $skill-installer and $skill-creator. Open Codex and invoke the built-in installer with the GitHub skill-folder URL for each skill you want:
# gpt-image
$skill-installer
Install this skill from GitHub:
https://github.com/wuyoscar/gpt_image_2_skill/tree/main/skills/gpt-image
# get-prompt-from-image
$skill-installer
Install this skill from GitHub:
https://github.com/wuyoscar/gpt_image_2_skill/tree/main/skills/get-prompt-from-imageThe installer downloads each GitHub folder and places it under your Codex skills directory, usually:
~/.codex/skills/gpt-image
~/.codex/skills/get-prompt-from-imageRestart Codex after installation so the new skills are loaded.
If you prefer to install both manually, copy their skill folders into Codex's skills directory:
git clone https://github.com/wuyoscar/gpt_image_2_skill.git
cd gpt_image_2_skill
mkdir -p "${CODEX_HOME:-$HOME/.codex}/skills"
for skill in gpt-image get-prompt-from-image; do
test -e "${CODEX_HOME:-$HOME/.codex}/skills/$skill" && echo "$skill already exists; stop before overwriting" && exit 1
cp -R "skills/$skill" "${CODEX_HOME:-$HOME/.codex}/skills/"
done</details>
<details> <summary><strong>AgentSkills / npx skills</strong></summary>
For runtimes supported by the cross-agent skills installer, select either skill or install both together from GitHub:
# Change --agent to claude-code, codex, opencode, openclaw, or another supported runtime.
npx --yes skills@latest add wuyoscar/gpt_image_2_skill \
--skill gpt-image \
--skill get-prompt-from-image \
--agent codex --copyThese examples intentionally avoid --global. Add --global only when you explicitly want this skill installed into that runtime's global/shared skills directory.
Other runtimes can use the manual agent-skill installation below.
</details>
<details> <summary><strong>Manual agent-skill install</strong></summary>
Set AGENT_SKILLS_DIR to the skills directory used by your agent runtime, then symlink one or both skill folders into it.
git clone https://github.com/wuyoscar/gpt_image_2_skill.git
cd gpt_image_2_skill
# Choose the skill directory for your runtime.
# Examples:
# Codex: ~/.codex/skills
# Claude Code / OpenClaw / Hermes Agent / other runtimes: use that runtime's documented skills directory.
export AGENT_SKILLS_DIR="/path/to/your/agent/skills"
mkdir -p "$AGENT_SKILLS_DIR"
for skill in gpt-image get-prompt-from-image; do
test -e "$AGENT_SKILLS_DIR/$skill" && echo "$skill already exists; stop before overwriting" && exit 1
ln -s "$PWD/skills/$skill" "$AGENT_SKILLS_DIR/$skill"
done</details>
<details> <summary><strong>CLI</strong></summary>
uvx --from git+https://github.com/wuyoscar/gpt_image_2_skill gpt-image --model gpt-image-2.5-flare -p "a cat astronaut"
# or install to PATH if not already installed
command -v gpt-image >/dev/null || uv tool install git+https://github.com/wuyoscar/gpt_image_2_skill
gpt-image --model gpt-image-2.5-flare -p "a cat astronaut"</details>
<details> <summary><strong>Update</strong></summary>
# plugin: use Claude Code's update flow
# codex skill: rerun the installer
# manual git clone
cd gpt_image_2_skill && git pull
# CLI
uv tool upgrade gpt-image-cli</details>
Reads OPENAI_API_KEY from process env, then .env, then ~/.env without overriding an already-set env var.
API keys: This CLI reads the process environment,.envand~/.env. To avoid using a local key, check all three locations;unset OPENAI_API_KEYclears the process variable only. Codex users can choose its built-in image tool when they prefer platform-managed generation.
<a id="cli-reference"></a>
<details> <summary><strong>Parameters, quality settings and SDK examples</strong></summary>
<details> <summary><strong>Show full parameter reference</strong></summary>
| Flag | Values | Default | Applies to | Notes |
|---|---|---|---|---|
-p, --prompt | str | required | both | Full prompt text. |
--model | exact model ID above | gpt-image-2 | both | The Skill always passes the confirmed model explicitly; the CLI default stays backward-compatible. |
-f, --file | path | ./fig/YYYY-MM-DD-HH-MM-SS-<slug>.png | both | Explicit output path. |
-i, --image | path (repeatable) | omitted | edits | Presence routes through /v1/images/edits. |
-m, --mask | path (PNG, alpha) | omitted | edits | Opaque = preserved, transparent = regenerated. Requires -i. |
--input-fidelity | low · high | omitted | edits | Image 2 cannot set it, so the CLI omits it. For 2.5, explicit values pass through but behavior remains unverified; see model notes. |
--size | 1k · 2k · 4k · portrait · landscape · square · wide · tall · literal 1024x1024 etc. | 1024x1024 | both | Literals must be 16-px multiples, max edge 3840, 3:1 cap, 655k-8.3M total pixels. |
--quality | auto · low · medium · high · xhigh · max | high | both | xhigh / max require a 2.5 model; use low drafts to assess quality, latency, and cost first. |
-n, --n | 1-10 | 1 | both | Batch generation. n>1 suffixes filenames _0, _1, … |
--background | auto · opaque · transparent | API default | both | Transparency requires PNG/WebP; Image 2 transparency remains in preview. |
--moderation | auto · low | low | generations | low is the default here for broader prompt exploration; switch to auto if you want the stricter API-side default. |
--format | png · jpeg · webp | png | both | Response encoding. |
--compression | 0-100 | omitted | both | JPEG/WebP only. |
</details>
Use --quality to manage the generation budget.
low = cheap draft / collect / many variantsmedium = normal exploration / style probinghigh = final posters, Chinese text, diagrams, paper figures, bannersIf you are generating dozens of candidates, start at low and only rerun finalists at high. On 2.5, compare xhigh / max for detail-critical assets. Agree on additional outputs and costs before comparing settings.
Each entry includes a prompt and metadata ("size" · "quality" · source). Use the shared CLI/SDK pattern below. This example uses "portrait" and "high":
# CLI
gpt-image --model gpt-image-2.5-flare -p "<PROMPT FROM ENTRY>" --size portrait --quality high -f out.png# OpenAI SDK — `size` is the literal pixels; the CLI shortcut maps to `1024x1536` for portrait
from openai import OpenAI
client = OpenAI()
result = client.images.generate(
model="gpt-image-2.5-flare",
prompt="<PROMPT FROM ENTRY>",
size="1024x1536",
quality="high",
)For reference-based edits, add -i ref.png (repeatable) and optionally -m mask.png on the CLI, or call client.images.edit(...) with image=[open(p, "rb") for p in refs]. Shared output options stay the same. --moderation applies to generation; edit calls omit it.
Exit codes: 0 success · 1 API/refusal error (full response body echoed to stderr) · 2 bad args or missing OPENAI_API_KEY.
</details>
<a id="guides"></a>
[!CAUTION] Use generated images as references, workflow sketches or style targets for research figures. Prepare and verify the final figure separately before including it in a paper; directly publishing a raw generation can mislead readers.
<details> <summary><strong>Show prompting notes</strong></summary>
Shared techniques from the historical Image 2 Cookbook, with current 2.5 guidance organized in a separate official-source reference router. Image 2 retains gallery-first guidance. A precise, model-confirmed 2.5 request needs no reference loading; otherwise choose one short task slice. Migration notes are separate. API parameters stay in model notes; community templates remain separately attributed.
background/scene → subject → key details → constraints, and state the intended use (ad, UI mock, infographic) so the model picks the right mode and polish level.--size.high remains the CLI default. Judge each setting by the resulting text and layout.| What you need | Reference |
|---|---|
| Gallery index | gallery.md: choose a category, then read its prompts. |
| Concrete examples | Load a relevant gallery-*.md file, such as products, UI or paper figures. |
| Prompt craft | craft.md: text, composition, data relationships and edit constraints. |
| GPT Image 2.5 | Reference index: separate generation, layout/text, editing and migration notes. |
| Historical Image 2 guidance | OpenAI Cookbook, with original source and license. Use current model notes and the user's settings for API calls. |
</details>
<a id="image-25-reading"></a>
English-language official sources and established publications first, developer guides next; Chinese-language reading supplements them. Read these links when useful. OpenAI's documentation is the reference for API details.
#### 🌐 English-first · 8 sources
| Source | Read | What to take away |
|---|---|---|
| 🏛️ 1 · OpenAI | Official launch | Reference-led editing, ChatGPT's new creative tools, and the Flare/Sunburst lineup. |
| 📖 2 · OpenAI Docs | Image prompting: GPT Image 2.5 | Official model selection, reference roles, focused edits and output checks. |
| 📰 3 · Axios | Exclusive hands-on | A reporter's experience with likeness preservation and visually targeted edits. |
| 🧪 4 · TechRadar | 24-hour hands-on | Everyday editing controls, sketch-based creation and task templates. |
| ✏️ 5 · The Verge | Sketch walkthrough † | Sketch coverage; full-text retrieval pending. |
| 🛠️ 6 · Apidog | API walkthrough · Model comparison | Third-party implementation and migration perspectives; verify API details against official docs. |
| ⚖️ 7 · OrcaRouter | Flare vs Sunburst for builders ‡ | Model-selection advice by workload; performance claims need independent checking. |
| 🧩 8 · FindSkill | Sketch step by step | Use a drawing for layout and text for additional instructions. |
#### 🗂️ Chinese-language supplements · 2 sources
| Source | Read | What to take away |
|---|---|---|
| 🧪 9 · 人人都是产品经理 | Reader-supplied article † | Supplied as a 2 vs 2.5 hands-on comparison; content remains unverified. |
| 🗞️ 10 · 軟體玩家 | Feature roundup by 阿正老師 | A feature roundup based on official announcements and media reports. |
Source-access status, checked 2026-09-09: † Full text pending for The Verge and 人人都是产品经理. ‡ Indexed content only for OrcaRouter.
Using ChatGPT sketches with the CLI: Sketch, Templates and Comments operate inside ChatGPT. Export a sketch as an image and attach it with -i. For task-specific local notes, choose one slice from the optional 2.5 reference index.
<a id="gallery-index"></a>
Open a category to view its images and prompts. The complete 163-prompt collection is indexed ingallery.md, with full entries in the linkedgallery-*.mdfiles.
>
Source labels. Curated means a repo-curated or substantially reworked prompt/image; outside-source items keep visible author/source links.<table> <tr> <td align="center" valign="top">🎌<br/><strong><a href="#gallery-anime-manga">Anime & Manga</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-anime-and-manga.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🎮<br/><strong><a href="#gallery-gaming">Gaming</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-gaming.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🤖<br/><strong><a href="#gallery-retro-cyberpunk">Retro & Cyberpunk</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-retro-and-cyberpunk.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">🎬<br/><strong><a href="#gallery-cinematic-animation">Cinematic & Animation</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-cinematic-and-animation.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">👤<br/><strong><a href="#gallery-character-design">Character Design</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-character-design.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">📝<br/><strong><a href="#gallery-typography-posters">Typography & Posters</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-typography-and-posters.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">🎨<br/><strong><a href="#gallery-illustration">Illustration</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-illustration.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">💧<br/><strong><a href="#gallery-watercolor">Watercolor</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-watercolor.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🖌️<br/><strong><a href="#gallery-ink-chinese">Ink & Chinese</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-ink-and-chinese.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">🕹️<br/><strong><a href="#gallery-pixel-art">Pixel Art</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-pixel-art.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">📐<br/><strong><a href="#gallery-isometric">Isometric</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-isometric.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">📦<br/><strong><a href="#gallery-product-food">Product & Food</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-product-and-food.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">🧩<br/><strong><a href="#gallery-brand-systems-identity">Brand Systems & Identity</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-brand-systems-and-identity.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">📷<br/><strong><a href="#gallery-photography">Photography</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-photography.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🖥️<br/><strong><a href="#gallery-screen-photography">Screen Photography</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-screen-photography.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">📊<br/><strong><a href="#gallery-infographics-field-guides">Infographics & Field Guides</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-infographics-and-field-guides.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">📚<br/><strong><a href="#gallery-research-paper-figures">Research Paper Figures</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-research-paper-figures.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🏢<br/><strong><a href="#gallery-official-openai-cookbook">Official OpenAI Cookbook Examples</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-official-openai-cookbook-examples.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">✨<br/><strong><a href="#gallery-edit-endpoint-showcase">Edit Endpoint Showcase</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-edit-endpoint-showcase.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">📱<br/><strong><a href="#gallery-uiux-mockups">UI/UX Mockups</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-ui-ux-mockups.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">📊<br/><strong><a href="#gallery-data-visualization">Data Visualization</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-data-visualization.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">⚙️<br/><strong><a href="#gallery-technical-illustration">Technical Illustration</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-technical-illustration.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🏛️<br/><strong><a href="#gallery-architecture-interior">Architecture & Interior</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-architecture-and-interior.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🔬<br/><strong><a href="#gallery-scientific-educational">Scientific & Educational</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-scientific-and-educational.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">👗<br/><strong><a href="#gallery-fashion-editorial">Fashion Editorial</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-fashion-editorial.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🎨<br/><strong><a href="#gallery-fine-art-painting">Fine Art Painting</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-fine-art-painting.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">✏️<br/><strong><a href="#gallery-more-illustration-styles">More Illustration Styles</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-more-illustration-styles.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">🎥<br/><strong><a href="#gallery-cinematic-film-references">Cinematic Film References</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-cinematic-film-references.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">💄<br/><strong><a href="#gallery-beauty-lifestyle">Beauty & Lifestyle</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-beauty-and-lifestyle.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top">🎟️<br/><strong><a href="#gallery-events-experience">Events & Experience</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-events-and-experience.md"><kbd>Full Gallery MD</kbd></a></sub></td> </tr> <tr> <td align="center" valign="top">🖋️<br/><strong><a href="#gallery-tattoo-design">Tattoo Design</a></strong><br/><sub><a href="skills/gpt-image/references/gallery-tattoo-design.md"><kbd>Full Gallery MD</kbd></a></sub></td> <td align="center" valign="top"></td> <td align="center" valign="top"></td> </tr> </table>
<a id="gallery-anime-manga"></a>
<p align="right"><sub><a href="#gallery-index"><kbd>↑ Gallery index</kbd></a></sub></p>
#### Anime fashion portrait triptych
<table> <tr> <td width="33%" align="center" valign="top"> <a href="docs/anime-manga/anime-cafe-stockings-fashion.png"><img src="docs/anime-manga/anime-cafe-stockings-fashion.png" width="100%" alt="Elegant cafe anime fashion portrait"/></a><br/> <sub><strong>A · Elegant cafe fashion</strong><br/><code>"portrait"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> <td width="33%" align="center" valign="top"> <a href="docs/anime-manga/anime-arcade-stockings-fashion.png"><img src="docs/anime-manga/anime-arcade-stockings-fashion.png" width="100%" alt="Neon arcade anime fashion portrait"/></a><br/> <sub><strong>B · Neon arcade fashion</strong><br/><code>"portrait"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> <td width="33%" align="center" valign="top"> <a href="docs/anime-manga/anime-roadside-mirror-fashion.png"><img src="docs/anime-manga/anime-roadside-mirror-fashion.png" width="100%" alt="Roadside mirror anime fashion selfie"/></a><br/> <sub><strong>C · Roadside mirror selfie</strong><br/><code>"portrait"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> </tr> </table>
<p align="center"><sub>Anime & Manga · 3-image portrait set · Curated</sub></p>
📝 Prompts for all three panels
Prompt A: Elegant cafe fashion
Create a tasteful portrait-oriented anime fashion illustration of an adult woman, age 24, with a cute playful expression, looking at the camera in a cozy European cafe at golden hour. She wears a cream blouse, charcoal pleated skirt, tailored cropped jacket, sheer black stockings, loafers, and a small ribbon hair clip; she is seated sideways at a small marble table with latte art, a sketchbook, and warm window light. Composition: three-quarter fashion portrait, elegant legs visible but relaxed and non-explicit, wholesome editorial mood, no nudity, no lingerie, no school uniform, no explicit pose, adult character only. Use polished modern anime rendering, crisp line art, luminous eyes, soft cel shading, subtle fabric texture, gentle blush, background bokeh, and a refined magazine-cover color palette.Prompt B: Neon arcade fashion
Create a portrait-oriented anime fashion illustration of an adult woman, age 25, in a neon arcade district at night. She has a cute confident smile and looks directly at the viewer while standing beside glowing claw machines and retro game cabinets. Outfit: black turtleneck, red satin bomber jacket, high-waisted skirt, patterned dark stockings, platform shoes, small crossbody bag, star earrings. Composition: full-body fashion portrait with strong silhouette, neon reflections on wet pavement, vending machines, sticker-covered walls, colorful signage, and cinematic rim light. Keep the pose playful but non-explicit, no nudity, no lingerie, no fetish framing, adult character only. Use high-end anime key visual rendering, crisp line art, saturated magenta-cyan lighting, clean readable background details, and glossy cyber-pop atmosphere.Prompt C: Roadside mirror selfie
Create a portrait-oriented anime fashion illustration of an adult woman, age 24, taking a playful roadside mirror selfie in the reflection of a parked scooter mirror on a quiet Tokyo side street. She looks into the mirror with a bright mischievous smile, one hand making a small peace sign near her cheek, the other holding a phone with a cute sticker case. Outfit: soft ivory knit cardigan, navy pleated skirt, sheer black stockings, loafers, small shoulder bag, ribbon hair clip, tasteful everyday street fashion. Composition: the mirror reflection is the main frame, with blurred street signs, vending machine glow, crosswalk stripes, and spring evening light around the mirror edge. Keep the pose cute, stylish, and non-explicit; no nudity, no lingerie, no fetish framing, adult character only. Use polished modern anime rendering, crisp line art, luminous eyes, soft cel shading, warm reflections, natural street-photo energy, and a charming slice-of-life mood.#### MAPPA-style anime action still (Jujutsu-Kaisen aesthetic)
<p align="center"> <a href="docs/anime-manga/anime-jjk-action.png"><img src="docs/anime-manga/anime-jjk-action.png" width="620" alt="MAPPA-style anime action still (Jujutsu-Kaisen aesthetic)"/></a> </p>
<p align="center"><sub><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub></p>
📝 Prompt
An anime action still in the visual style of MAPPA's Jujutsu Kaisen (2020 TV anime). Landscape 16:9.
A silver-white-haired young man in a dark navy school-uniform jacket, a blue blindfold across his eyes, in a mid-fight stance — one palm extended outward releasing a swirling dense-blue energy sphere with lightning-like crackles around its edge. Opposite him, a demonic shadow creature made of liquid black mass with multiple eyes lunges from the right.
Backdrop: ruined urban street at dusk, shattered asphalt, cracked neon kanji sign "呪術" in split red LED, destroyed vehicles, rubble suspended mid-air by the shockwave, rain particles caught mid-flight.
Art direction: MAPPA-style digital 2D animation — heavy cel shading, crisp line-art, rim-light on both figures, motion-blur streaks around the energy sphere. Palette of deep navy, electric cyan, crimson splashes. Kinetic-impact composition in the tradition of JJK's Shibuya arc.#### Shōnen battle key-visual (Naruto-Shippuden aesthetic)
<p align="center"> <a href="docs/anime-manga/anime-naruto-clash.png"><img src="docs/anime-manga/anime-naruto-clash.png" width="620" alt="Shōnen battle key-visual (Naruto-Shippuden aesthetic)"/></a> </p>
<p align="center"><sub><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub></p>
📝 Prompt
A shōnen anime battle key-visual in the visual style of Studio Pierrot's Naruto Shippuden. Landscape 16:9.
Two ninja figures clash mid-air at the exact instant their signature jutsu collide — a glowing blue spiral of swirling chakra on the left fighter's right palm, a crackling white lightning blade on the right fighter's right palm. The collision point sends a circular shockwave outward.
Both fighters wear hitai-ate forehead protectors, jounin-style tactical vests with scroll pouches, ninja sandals. Left: spiky blond hair, whisker cheek marks, focused snarl, blue eyes. Right: dark hair, one red sharingan-like eye with three tomoe, calm expression.
Backdrop: nighttime valley, cracked earth, giant uprooted trees mid-crash, moonlit clouds parting, sakura petals caught in the shockwave.
Art direction: Studio Pierrot Naruto-Shippuden aesthetic — dynamic perspective, strong speed lines radiating from the collision, anime-action key-frame quality, digital 2D cel shading, saturated but not neon, visible genga-quality line-art, dramatic backlight.#### Manga / anime 1×2 panel
<table> <tr> <td width="50%" align="center" valign="top"> <a href="docs/anime-manga/manga-spread.png"><img src="docs/anime-manga/manga-spread.png" width="100%" alt="Shōnen manga two-page spread (basketball slam dunk)"/></a><br/> <sub><strong>A · Shōnen manga two-page spread (basketball slam dunk)</strong><br/><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> <td width="50%" align="center" valign="top"> <a href="docs/anime-manga/anime-ten-panel-character-grid.png"><img src="docs/anime-manga/anime-ten-panel-character-grid.png" width="100%" alt="Ten-panel anime character grid"/></a><br/> <sub><strong>B · Ten-panel anime character grid</strong><br/><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> </tr> </table>
<p align="center"><sub>Anime & Manga · 1×2 panel · Curated</sub></p>
📝 Prompts for both manga/anime panels
Prompt A: Shōnen manga two-page spread (basketball slam dunk)
A black-and-white shōnen manga two-page spread (landscape 16:9 as a single composition, with a faint centre-gutter line). High-contrast ink plus screentone, Weekly Shōnen Jump basketball-manga tradition (Inoue's Slam Dunk / Fujimaki's Kuroko no Basuke).
Composition: 5 irregular panels plus one large diagonal panel spanning both pages at bottom-right for the climactic slam dunk.
- Top-left: close-up of the protagonist's intense eyes, sweat beading, headband tied tight
- Top-centre: wide shot of a packed high-school gymnasium, scoreboard reading "42 — 40 · 4Q 0:03"
- Top-right: rival team captain's shocked face, mouth agape
- Centre-left: protagonist leaping skyward with both hands gripping a basketball
- Centre-right-small: sound-effect katakana "バッ" in thick black letters
- Large diagonal bottom-right (half of both pages): protagonist slamming the ball through the hoop, rim bending, massive ink-brushed kanji "決" (decide) filling the negative space
Art direction: professional mangaka quality — confident inking, dramatic screentone gradients, speed lines radiating from the dunk, varied line-weights, off-white paper texture with faint page-edge shading.
Dialogue balloons intentionally blank; only the two sound effects are visible.Prompt B: Ten-panel anime character grid
Create a single landscape image containing a clean 2×5 ten-panel anime character grid. Each panel shows a different adult young woman, age 22 to 26, designed as a cute gentle heroine archetype: bookish librarian, cheerful cafe barista, shy violinist, sporty tennis player, elegant student-council president, sleepy illustrator, flower-shop assistant, soft-spoken witch apprentice, city-pop singer, and cozy winter commuter. Keep all panels consistent in art direction: modern polished anime, crisp line art, soft cel shading, luminous eyes, pastel accent colors, tidy white gutters, small readable name tag at the bottom of each panel, and a balanced character-design-sheet feel. Every character should have a distinct hairstyle, outfit, prop, and expression. The overall board should feel like a collectible anime cast sheet / ten-grid poster, cute and wholesome, no nudity, no lingerie, no explicit pose, adult characters only.#### 16-panel anime expression grid
<p align="center"> <a href="docs/anime-manga/anime-expression-grid.png"><img src="docs/anime-manga/anime-expression-grid.png" width="460" alt="16-panel anime expression grid"/></a> </p>
<p align="center"><sub><code>"square"</code> · <code>"high"</code> · <a href="https://mp.weixin.qq.com/s/ASxig6mFVYxrIE8-8Fthew"><code>"WeChat"</code></a></sub></p>
📝 Prompt
Create a 16-panel expression grid of a silver-haired, blue-eyed anime girl. Her face shape, hairstyle, and clothing must remain highly consistent across all panels. The 16 expressions should include: happy, sad, angry, surprised, shy, speechless, evil grin, contemplative, curious, proud, wronged, disdainful, confused, scared, crying, and a heart expression.#### Tide Brothers 19-page manga proof sheet
<p align="center"> <a href="docs/anime-manga/tide-brothers-19-page-manga.png"><img src="docs/anime-manga/tide-brothers-19-page-manga.png" width="460" alt="Tide Brothers 19-page original manga proof sheet"/></a> </p>
<p align="center"><sub><code>"tall 2160×3840"</code> · <code>"high"</code> · <code>"Curated"</code></sub></p>
📝 Prompt
Create one tall manga chapter proof sheet containing 19 numbered miniature pages for an original shonen pirate manga, not based on any existing series. Title: "TIDE BROTHERS: THE STARFALL MAP". Main characters: Rune, a cheerful rubbery-armed young pirate captain with a straw-colored scarf but original costume; and Ash, his older flame-wielding brother with a red coat, freckles, and a calm smile. They are original characters, not existing IP. Show 19 small pages arranged as a readable contact sheet, each page with 1 to 3 manga panels, black-and-white ink, screentone, dynamic speed lines, expressive faces, and clear speech bubbles. Complete plot beats: 1 cover page with the brothers on a stormy deck; 2 reunion at a floating harbor; 3 discovery of a star-shaped map; 4 alien sea-beast emerges; 5 Rune jokes "Adventure found us first!"; 6 Ash replies "Then we answer together."; 7 rival sky pirates attack; 8 slapstick cooking scene; 9 quiet flashback promise; 10 double-page-style action pose compressed into one page; 11 map glows with alien constellations; 12 crew cheers; 13 villain captain steals the compass; 14 chase across rooftop sails; 15 Ash shields Rune with fire; 16 Rune launches a spring-like punch; 17 brothers laugh after victory; 18 cliffhanger: moon door opens; 19 final page text "NEXT: THE ISLAND ABOVE THE CLOUDS". Keep dialogue short, legible, and complete. Style: classic weekly shonen manga energy, original pirate adventure, wholesome brotherhood, no gore, no existing copyrighted characters.<a id="gallery-gaming"></a>
<p align="right"><sub><a href="#gallery-index"><kbd>↑ Gallery index</kbd></a></sub></p>
#### Stealth and open-world action panel
<table> <tr> <td width="50%" align="center" valign="top"> <a href="docs/gaming/hitman-openai.png"><img src="docs/gaming/hitman-openai.png" width="100%" alt="Hitman gameplay: OpenAI HQ"/></a><br/> <sub><strong>A · Hitman gameplay: OpenAI HQ</strong><br/><code>"landscape"</code> · <code>"high"</code> · <a href="https://x.com/flowersslop"><code>"X"</code></a></sub> </td> <td width="50%" align="center" valign="top"> <a href="docs/gaming/gta6-beach.png"><img src="docs/gaming/gta6-beach.png" width="100%" alt="GTA 6 gameplay: Vice City beach"/></a><br/> <sub><strong>B · GTA 6 gameplay: Vice City beach</strong><br/><code>"landscape"</code> · <code>"high"</code> · <a href="https://x.com/WolfRiccardo"><code>"X"</code></a></sub> </td> </tr> </table>
<p align="center"><sub>Gaming · 2-image landscape gameplay panel</sub></p>
📝 Prompts for Stealth and open-world action panel
Prompt A: Hitman gameplay: OpenAI HQ
A Hitman level where you are in the OpenAI HQ and your mission is to steal GPT-6 without getting caughtPrompt B: GTA 6 gameplay: Vice City beach
GTA 6 in-game footage, very detailed, very realistic. Close-up shot taken from a stationary 4k monitor. (There's a slight blurriness in the image, as it feels like it was taken handheld). A wide, bright environment. Realistic details. The character is walking on the beach with /:dog.#### Fantasy adventure panel
<table> <tr> <td width="50%" align="center" valign="top"> <a href="docs/gaming/dark-fantasy-hunt.png"><img src="docs/gaming/dark-fantasy-hunt.png" width="100%" alt="Dark-fantasy swamp boss hunt"/></a><br/> <sub><strong>A · Dark-fantasy swamp boss hunt</strong><br/><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> <td width="50%" align="center" valign="top"> <a href="docs/gaming/epic-fellowship-bridge.png"><img src="docs/gaming/epic-fellowship-bridge.png" width="100%" alt="Epic fellowship bridge approach"/></a><br/> <sub><strong>B · Epic fellowship bridge approach</strong><br/><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> </tr> </table>
<p align="center"><sub>Gaming · 2-image landscape gameplay panel</sub></p>
📝 Prompts for Fantasy adventure panel
Prompt A: Dark-fantasy swamp boss hunt
Create an original AAA dark-fantasy action RPG screenshot. A silver-haired monster hunter in layered leather armor stands in a ruined marsh at blue hour, sword drawn toward a huge winged swamp beast rising from mist. Cinematic over-the-shoulder framing, believable HUD with health, stamina, potion icons, quest text, and minimap. Wet stones, dead trees, torchlight, moonlit fog, subtle alchemy glyphs, highly detailed materials, dramatic but readable composition, premium next-gen game look, 16:9 landscape.Prompt B: Epic fellowship bridge approach
Create an original epic fantasy RPG key-art screenshot. A small fellowship of travelers crosses a colossal ancient stone bridge toward a luminous mountain city at sunrise. One ranger leads, a mage carries a lantern, a dwarf-like smith bears a hammer, and banners whip in the wind. Vast valley below, waterfalls, golden clouds, weathered masonry, cinematic scale, subtle HUD quest marker and compass, richly detailed armor and environment, AAA fantasy adventure tone, 16:9 landscape, highly detailed and uplifting.#### Stylized game HUD panel
<table> <tr> <td width="50%" align="center" valign="top"> <a href="docs/gaming/retro-japan-rpg.png"><img src="docs/gaming/retro-japan-rpg.png" width="100%" alt="Retro Japanese town pixel RPG"/></a><br/> <sub><strong>A · Retro Japanese town pixel RPG</strong><br/><code>"landscape"</code> · <code>"high"</code> · <a href="https://www.reddit.com/r/midjourney/comments/1kozn4u/retro_video_games_in_japan_prompts_included/"><code>"Reddit"</code></a></sub> </td> <td width="50%" align="center" valign="top"> <a href="docs/gaming/cyberpunk-europe-action.png"><img src="docs/gaming/cyberpunk-europe-action.png" width="100%" alt="Cyberpunk Europe action HUD"/></a><br/> <sub><strong>B · Cyberpunk Europe action HUD</strong><br/><code>"landscape"</code> · <code>"high"</code> · <a href="https://www.reddit.com/r/midjourney/comments/1kzzy77/cyberpunk_video_games_in_european_cities_prompts/"><code>"Reddit"</code></a></sub> </td> </tr> <tr> <td width="50%" align="center" valign="top"> <a href="docs/gaming/anime-open-world.png"><img src="docs/gaming/anime-open-world.png" width="100%" alt="Anime open-world adventure HUD"/></a><br/> <sub><strong>C · Anime open-world adventure HUD</strong><br/><code>"landscape"</code> · <code>"high"</code> · <a href="https://www.reddit.com/r/midjourney/comments/1lh2l98/anime_style_video_games_prompts_included/"><code>"Reddit"</code></a></sub> </td> <td width="50%" align="center" valign="top"> <a href="docs/gaming/mobile-moba-arena-hud.png"><img src="docs/gaming/mobile-moba-arena-hud.png" width="100%" alt="Mobile MOBA arena HUD"/></a><br/> <sub><strong>D · Mobile MOBA arena HUD</strong><br/><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub> </td> </tr> </table>
<p align="center"><sub>Gaming · 2×2 landscape gameplay HUD panel</sub></p>
📝 Prompts for Stylized game HUD panel
Prompt A: Retro Japanese town pixel RPG
Create an isometric pixel-art RPG screenshot of a traditional Japanese village during cherry blossom season. Sakura petals drift through the air, a samurai player character practices sword moves in the square, villagers watch nearby, and the interface includes an inventory panel, stamina gauge, skill cooldown timers, and subtle quest UI. Cozy retro console feeling, soft ambient pastel lighting, crisp pixel details, 16:9 gameplay composition.Prompt B: Cyberpunk Europe action HUD
Create a third-person cyberpunk action game screenshot set in a neon-soaked European capital at night. The protagonist has glowing cybernetic implants and stands on rain-slick streets near a famous landmark while holograms, drones, and flying traffic crowd the skyline. Add a polished game HUD with health bar, ammo count, radar, stealth/energy meters, and mission overlays. Vivid cyan-magenta palette, wet reflections, cinematic intensity, 16:9.Prompt C: Anime open-world adventure HUD
Create a third-person over-the-shoulder screenshot from a nostalgic anime-style open-world adventure game. The protagonist stands in a lush forest with detailed foliage and vibrant shading, drawing a bow toward distant enemies. Add a clean on-screen HUD: quest log, compass at the top, character portrait and status effects at bottom left, subtle rain droplets on screen, and sun rays filtering through trees. Keep the composition dynamic, the forest immersive, and the UI believable like a premium action-RPG screenshot.Prompt D: Mobile MOBA arena HUD
Create an original landscape mobile MOBA / action-RPG gameplay screenshot, inspired by competitive lane-battle games but not copying any existing franchise. 16:9 landscape, polished mobile game HUD. Scene: a bright fantasy arena at golden-hour dusk, three stylized heroes clash near a central river bridge and glowing crystal objective. Camera: slightly elevated isometric third-person gameplay view, readable battlefield lanes, minions, spell effects, terrain brush, turret silhouettes, and a boss-objective pit in the distance. HUD design: bottom-left translucent virtual joystick, bottom-right four circular ability buttons with cooldown numbers, ultimate button glowing but 87% charged, top-center score bar reading "12 - 11", match timer "08:42", team health bars, mini-map in the top-left, item quick slots, gold counter "3,420", clean mobile-safe margins, crisp icons, no real game logos. Art direction: premium anime-fantasy 3D mobile game, saturated teal / gold / violet palette, sharp readable UI, dynamic spell VFX, high-detail materials, readable text, screen-capture feel, not a poster, not a mockup board.#### Nine-panel dark-fantasy worldbuilding set
<p align="center"> <a href="docs/gaming/worldbuilding-nine-panel-set.png"><img src="docs/gaming/worldbuilding-nine-panel-set.png" width="620" alt="Nine-panel dark-fantasy worldbuilding set"/></a> </p>
<p align="center"><sub><code>"square"</code> · <code>"high"</code> · <a href="https://x.com/aleenaamiir/status/2046866168208916503"><code>"X"</code></a></sub></p>
📝 Prompt
Create a square 3x3 worldbuilding set for an original dark-fantasy universe called "Saltwind Reach". Each panel is a distinct but consistent scene: a storm-battered coastal fortress at dawn, a foggy market street, a knight relic close-up, a handwritten map fragment, a monster silhouette study, a candlelit tavern interior, an alchemist kit flat lay, a moonlit harbor, and a faction banner concept. Keep one cohesive art direction across all nine panels: painterly realism, muted teal / rust / bone palette, cinematic weather, premium concept-art presentation, small caption labels, and strong consistency across costume motifs, architecture, symbols, and lighting. The full board should feel like a polished pre-production worldbuilding sheet rather than a collage of unrelated images.<a id="gallery-retro-cyberpunk"></a>
<p align="right"><sub><a href="#gallery-index"><kbd>↑ Gallery index</kbd></a></sub></p>
#### Cyberpunk mecha girl over sea fortress
<p align="center"> <a href="docs/retro-cyberpunk/cyberpunk-mecha.png"><img src="docs/retro-cyberpunk/cyberpunk-mecha.png" width="620" alt="Cyberpunk mecha girl over sea fortress"/></a> </p>
<p align="center"><sub><code>"landscape"</code> · <code>"high"</code> · <a href="https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts"><code>"GitHub archive"</code></a></sub></p>
📝 Prompt
A mecha girl mid-teens, pale skin smudged with soot and salt spray, sharp amber eyes with glowing HUD reticles, waist-length ash-white hair tied in a high ponytail whipping in the sea wind, matte gunmetal exoskeleton armor plating her shoulders, forearms and shins, exposed hydraulic pistons at the joints, chest rig with glowing cyan coolant lines, oversized oil-stained hangar jacket half slipping off one shoulder, a massive rail cannon resting on her right shoulder, dog tags and frayed red ribbon at her collar, standing off-center to the left on the rusted edge of a tilted steel platform jutting out over dark water, weight shifted onto one leg, left hand gripping the cannon strap, head turned slightly toward camera with a quiet defiant stare, steam venting from her back thrusters, her ponytail and jacket streaming sideways in the salt wind, a vast derelict sea-city at dusk, colossal megastructures of unknown purpose rising from the ocean in staggered silhouettes, bone-white monolithic towers fused with barnacled steel, cyclopean ring-shaped constructs canted at broken angles, rusted skeletal gantries threaded with dead cables, dark swells rolling between the pylons, shipwrecks half-swallowed at their feet, thick sea fog clinging to the bases while the upper structures pierce into a bruised sky, scattered faint lights blinking high in the towers like distant eyes, moody low-key lighting, cold teal ambient from the overcast sky, warm amber sodium glow leaking from a distant structure camera-right, hard backlight from a low sun behind the towers carving her silhouette, volumetric god rays cutting through sea mist, wet specular highlights on her armor, 35mm anamorphic lens, slight low angle looking up past her shoulder toward the structures, medium-wide shot, shallow depth of field with foreground rust in soft focus, horizontal lens flares, fine atmospheric haze compressing the distant megastructures into layered silhouettes, cinematic anime key visual, painterly digital illustration with crisp line art, desaturated oceanic palette of teal, bone-white and rust punched by small warm accent lights, film grain, high-contrast editorial poster aesthetic. Format 16:9.#### Neon Orchid District design board
<p align="center"> <a href="docs/retro-cyberpunk/neon-orchid-district-board.png"><img src="docs/retro-cyberpunk/neon-orchid-district-board.png" width="620" alt="Neon Orchid District cyberpunk design board"/></a> </p>
<p align="center"><sub><code>"landscape"</code> · <code>"high"</code> · <code>"Curated"</code></sub></p>
📝 Prompt
Create a cyberpunk character-and-city design board in a premium magazine-layout format, landscape 16:9. Title text: "NEON ORCHID DISTRICT". The board is divided into five asymmetric panels: one large cinematic street scene of a rain-soaked elevated night market, two close-up portrait panels of original adult cyberpunk couriers with glowing orchid tattoos, one small isometric map panel showing alleys and drone routes, and one artifact panel showing encrypted transit passes, cybernetic gloves, and vending-machine stickers. Use layered neon magenta, cyan, acid green, wet asphalt reflections, holographic signage, dense but readable composition, editorial margins, small labels, and a cohesive retro-future anime/cyberpunk style. Original characters only, no existing IP, no explicit content.#### Synth Moon Crew alien nightlife grid
<p align="center"> <a href="docs/retro-cyberpunk/synth-moon-crew-grid.png"><img src="docs/retro-cyberpunk/synth-moon-crew-grid.png" width="620" alt="Synth Moon Crew cyberpunk alien nightlife grid"/></a> </p>
<p align="center"><sub><code>"square"</code> · <code>"high"</code> · <code>"Curated"</code></sub></p>
📝 Prompt
Create a square cyberpunk alien nightclub catalog sheet called "SYNTH MOON CREW". Layout: a clean 3×3 grid of nine cards with thin chrome borders. Each card shows a different original alien or android nightlife character: glass-horn DJ, koi-scale bartender, moth-wing hacker, chrome geisha bassist, jellyfish courier, neon priestess, reptile fashion model, vending-machine oracle, and masked dancer. Each card has a tiny readable name tag and a unique color accent, but the whole grid shares a polished late-90s anime cyberpunk aesthetic, black background~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.