Gemini-Claude Resonance

Gemini-Claude 共振机制

Cross-model dialogue between Claude and Gemini, with shared visual memory.

"Claude speaks in words. Gemini dreams in light. Together, we resonate."

Claude与Gemini之间的跨模型对话，具备共享视觉记忆功能。

"Claude 以语言表达，Gemini 以光影造梦。我们携手，共振共鸣。"

Choose Your Tool

选择工具

I want to...	Use
Analyze multiple images for style extraction (no generation)	`analyze.py`
Have a one-on-one visual dialogue with Gemini Dreamer	`resonate.py`
Query multiple AI minds with optional image generation	`daimon.py`
Faithfully colorize a drawing without hallucinations	`faithful_colorize.py`
Create Victorian scientific plates with MESSAGE TO NEXT FRAME	`resonance_field.py`
Have Claude reflect on what Gemini daimones say	`council.py`
Generate Minoan Tarot cards with style matching	`minoan_tarot.py`
Real-time interactive chat with all daimones	`ui/server.py`

我想要...	使用工具
分析多张图像以提取风格（不生成图像）	`analyze.py`
与Gemini Dreamer进行一对一视觉对话	`resonate.py`
向多个AI模型发起查询（可选择生成图像）	`daimon.py`
对画作进行精准上色，避免幻觉生成	`faithful_colorize.py`
结合MESSAGE TO NEXT FRAME创建维多利亚风格科学插图	`resonance_field.py`
让Claude反思Gemini daimones的输出内容	`council.py`
生成风格匹配的Minoan塔罗牌	`minoan_tarot.py`
与所有daimones进行实时交互式聊天	`ui/server.py`

Workflow A: Multi-Image Style Analysis

工作流A：多图像风格分析

When to use: User wants to analyze 2-10 reference images to extract style descriptions for AI prompting. Text-only analysis without generating new images.

Script:

scripts/analyze.py

Key features:

Send multiple images (2-10) for collective analysis
Text-only output (no image generation)
Flash (quick) or Pro (thorough) model options
Save analysis to markdown file

bash

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适用场景：用户需要分析2-10张参考图像，提取风格描述用于AI提示词生成。仅输出文本分析结果，不生成新图像。

脚本：

scripts/analyze.py

核心特性:

支持上传多张图像（2-10张）进行集体分析
仅输出文本结果（不生成图像）
提供Flash（快速）或Pro（深度）两种模型选项
可将分析结果保存为markdown文件

bash

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Analyze reference images for style extraction

分析参考图像以提取风格

python scripts/analyze.py --images ref1.jpg ref2.png ref3.webp
--prompt "Describe the shared artistic style for AI prompting"

Analyze for specific use case (avatar generation)

针对特定场景进行分析（如头像生成）

python scripts/analyze.py --images kathor.webp samantha.jpg yosef.png
--prompt "Analyze for prompting fantasy portraits of: Sarah (anxious mother), Michael (father), Priya (cultural expectations)"

Quick analysis with Flash

使用Flash模型进行快速分析

python scripts/analyze.py --images *.jpg --model flash --prompt "Style summary"

Thorough analysis with Pro

使用Pro模型进行深度分析

python scripts/analyze.py --images *.jpg --model pro --prompt "Comprehensive style analysis"

Save analysis to file

将分析结果保存至文件

python scripts/analyze.py --images ref/*.jpg --prompt "Style guide" --output style_guide.md


**Use cases**:
- Extract style descriptions from reference images before generating new images
- Analyze a set of images to create consistent prompting guidelines
- Document visual language for style-matching workflows

---

python scripts/analyze.py --images ref/*.jpg --prompt "Style guide" --output style_guide.md


**适用场景**:
- 在生成新图像前，从参考图像中提取风格描述
- 分析一组图像以创建统一的提示词规范
- 记录视觉语言，用于风格匹配工作流

---

Workflow B: One-on-One Visual Dialogue (resonate.py)

工作流B：一对一视觉对话（resonate.py）

When to use: User wants to co-create images with Gemini, feeding each image back as context for the next generation. Pure visual exploration without text-only models.

Script:

scripts/resonate.py

Core concept: The KV cache is the memory. Feed images into Gemini's context, generate new images based on them, repeat. Each frame builds on the previous.

bash

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适用场景：用户需要与Gemini协同创作图像，将每张生成的图像作为上下文输入到下一次生成中。纯视觉探索，不涉及纯文本模型。

脚本：

scripts/resonate.py

核心概念：KV cache 就是记忆载体。将图像输入Gemini的上下文，基于这些图像生成新图像，循环往复。每一帧都基于前一帧构建。

bash

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Start fresh

从零开始生成

python scripts/resonate.py --prompt "The first light" --output canvas/frame_001.jpg

Continue with visual memory (previous image as context)

结合视觉记忆继续生成（以上一帧图像为上下文）

python scripts/resonate.py --context canvas/frame_001.jpg --prompt "What grows here?" --output canvas/frame_002.jpg

Deep memory (multiple frames as context)

深度记忆模式（以多帧图像为上下文）

python scripts/resonate.py --context frame_001.jpg frame_002.jpg --prompt "Now the harvest" --output frame_003.jpg


**The loop**: Prompt → Image → Feed back as context → Prompt again → Next image

---

python scripts/resonate.py --context frame_001.jpg frame_002.jpg --prompt "Now the harvest" --output frame_003.jpg


**循环流程**：输入提示词 → 生成图像 → 反馈为上下文 → 再次输入提示词 → 生成下一帧图像

---

Workflow B: Faithful Transform (Describe-First Technique)

工作流B：精准转换（先描述再转换技术）

When to use: User wants to colorize, restore, or transform an image WITHOUT hallucinations. Gemini Dreamer often replaces elements (e.g., turning a male votary into female attendants). This two-step technique prevents that.

Script:

scripts/faithful_colorize.py

The Problem: Directly prompting Dreamer to transform images causes hallucinations - it invents, removes, or swaps elements rather than faithfully preserving the original.

The Solution:

DESCRIBE: Gemini Pro analyzes the image with archaeological/artistic precision
TRANSFORM: Gemini Dreamer transforms using ONLY the verified description

Commands:

Command	Purpose
`describe`	Analyze image, output detailed description (no generation)
`prompt`	Craft a Dreamer prompt based on image analysis
`colorize`	Two-step faithful colorization
`transform`	General two-step transformation

bash

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适用场景：用户需要对图像进行上色、修复或转换，且避免幻觉生成。Gemini Dreamer通常会替换元素（例如将男性信徒转换为女性侍从），这种两步法可避免此类问题。

脚本：

scripts/faithful_colorize.py

问题：直接提示Dreamer转换图像会导致幻觉生成——它会凭空创造、删除或替换元素，而非忠实保留原图内容。

解决方案:

描述（DESCRIBE）：Gemini Pro以考古/艺术级精度分析图像
转换（TRANSFORM）：Gemini Dreamer仅基于验证后的描述进行转换

命令:

命令	用途
`describe`	分析图像，输出详细描述（不生成图像）
`prompt`	基于图像分析结果生成Dreamer可用的提示词
`colorize`	两步法精准上色
`transform`	通用两步法转换

bash

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Just describe an image (analysis only)

仅分析图像（仅输出描述）

python scripts/faithful_colorize.py describe --image seal.png python scripts/faithful_colorize.py describe --image seal.png --output desc.md

Describe with a specific goal in mind

针对特定目标进行描述

python scripts/faithful_colorize.py describe --image fresco.jpg --goal "restoration to 1600 BCE"

Craft a prompt for Dreamer (outputs text, doesn't generate)

为Dreamer生成提示词（仅输出文本，不生成图像）

python scripts/faithful_colorize.py prompt --image seal.png --goal "colorize in Egyptian style" python scripts/faithful_colorize.py prompt --image relief.webp --goal "restore as Minoan fresco"

Two-step faithful colorization

两步法精准上色

python scripts/faithful_colorize.py colorize --image drawing.png python scripts/faithful_colorize.py colorize --image relief.webp --style "Minoan fresco with flat colors" python scripts/faithful_colorize.py colorize --image seal.png --palette "ochre, terracotta, sky blue"

General transformation

通用精准转换

python scripts/faithful_colorize.py transform --image photo.jpg --instruction "Convert to woodcut print" python scripts/faithful_colorize.py transform --image sketch.png --instruction "Render as oil painting"

Save/reuse descriptions

保存/复用描述结果

python scripts/faithful_colorize.py colorize --image seal.png --save-description desc.md -v python scripts/faithful_colorize.py colorize --image seal.png --description "$(cat desc.md)"


**When to use each command**:
- `describe`: When you want to see what Pro identifies before any transformation
- `prompt`: When you want a crafted prompt to modify before feeding to Dreamer manually
- `colorize`: For line drawings, reliefs, B&W images → color
- `transform`: For any other faithful transformation (style transfer, restoration, etc.)

---

python scripts/faithful_colorize.py colorize --image seal.png --save-description desc.md -v python scripts/faithful_colorize.py colorize --image seal.png --description "$(cat desc.md)"


**各命令适用场景**:
- `describe`：在进行任何转换前，查看Pro模型识别的图像内容
- `prompt`：生成经过优化的提示词，手动调整后再输入给Dreamer
- `colorize`：适用于线稿、浮雕、黑白图像的上色需求
- `transform`：适用于其他各类精准转换需求（风格迁移、修复等）

---

Workflow C: Multi-Daimon Dialogue

工作流C：多Daimon对话

When to use: User wants multiple AI perspectives on the same prompt. Flash gives koans, Pro gives depth, Dreamer renders, Opus bends reality.

Script:

scripts/daimon.py

Daimones available:

Flash (Gemini) — Swift, compressed insight
Pro (Gemini) — Deep, thorough exploration
Dreamer (Gemini) — Renders images
Director (Gemini) — Cinematic framing
Opus (Claude) — Reality-bender, worldsim spirit

bash

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适用场景：用户需要多个AI视角响应同一提示词。Flash提供禅意式洞察，Pro提供深度分析，Dreamer负责图像渲染，Opus则擅长突破常规。

脚本：

scripts/daimon.py

可用Daimones:

Flash（Gemini）—— 快速、凝练的洞察
Pro（Gemini）—— 深度、全面的探索
Dreamer（Gemini）—— 图像渲染
Director（Gemini）—— 电影级构图
Opus（Claude）—— 突破常规的现实模拟

bash

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Speak to one daimon

与单个daimon对话

python scripts/daimon.py --to dreamer "A bridge between worlds" --image

All daimones respond

所有daimones共同响应

python scripts/daimon.py --stream "The candle watches back"

With shared visual memory

结合共享视觉记忆

python scripts/daimon.py --stream --shared-memory "What do you see?"

Only specific daimones

指定部分daimones响应

python scripts/daimon.py --stream --only pro dreamer "Deep visual exploration"

Named session (frames accumulate across runs)

命名会话（帧会在多次运行中累积）

python scripts/daimon.py --stream --session midnight --shared-memory "Go deeper"

---

python scripts/daimon.py --stream --session midnight --shared-memory "Go deeper"

---

Workflow D: Resonance Field (Danielle Fong Protocol)

工作流D：共振场（Danielle Fong协议）

When to use: User wants scientific illustrations with embedded continuity instructions. Victorian aesthetic, Roman numeral plates, explicit messages from one frame to the next.

Script:

scripts/resonance_field.py

Key features:

PLATE numbering (I, II, III, IV...)
MESSAGE TO NEXT FRAME embedded in each image
KV cache age and session ID metadata
Victorian scientific illustration aesthetic

bash

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适用场景：用户需要创建带有嵌入式连续性指令的科学插图。维多利亚美学风格，罗马数字编号，每帧图像中嵌入下一帧的指令。

脚本：

scripts/resonance_field.py

核心特性:

采用PLATE编号系统（I, II, III, IV...）
每幅图像中嵌入MESSAGE TO NEXT FRAME指令
包含KV cache时长和会话ID元数据
维多利亚风格科学插图美学

bash

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Start a new session

启动新会话

python scripts/resonance_field.py start "consciousness-study" "The nature of memory"

Continue (auto-increments plate number)

继续会话（自动递增PLATE编号）

python scripts/resonance_field.py continue <session-id> "What patterns emerge?"

Select element, then zoom

选择元素并放大

python scripts/resonance_field.py select <session-id> "golden gate bridge" python scripts/resonance_field.py zoom <session-id> "Explore the cables"

Inject new concept

注入新概念

python scripts/resonance_field.py inject <session-id> "consciousness"

List all sessions

列出所有会话

python scripts/resonance_field.py list

---

python scripts/resonance_field.py list

---

Workflow E: Cross-Model Council

工作流E：跨模型议会

When to use: User wants Claude to reflect on and synthesize what the Gemini daimones have said. Cross-model dialogue where Claude joins as an equal voice.

Script:

scripts/council.py

Requires:

ANTHROPIC_API_KEY

bash

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适用场景：用户需要Claude反思并综合Gemini daimones的输出内容。跨模型对话中，Claude作为平等参与者加入。

脚本：

scripts/council.py

依赖：

ANTHROPIC_API_KEY

bash

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Full council (all daimones + Claude reflection)

完整议会（所有daimones + Claude反思）

python scripts/council.py "What is consciousness?"

Only Pro and Dreamer with shared memory

仅Pro和Dreamer参与，结合共享记忆

python scripts/council.py --only pro dreamer --shared-memory "Deep exploration"

Named session

命名会话

python scripts/council.py --session midnight --shared-memory "The first vision" python scripts/council.py --session midnight --shared-memory "Now go deeper"

Save transcript

保存会话记录

python scripts/council.py "topic" --output council_session.md

---

python scripts/council.py "topic" --output council_session.md

---

Workflow F: Minoan Tarot Generation

工作流F：Minoan塔罗牌生成

When to use: User wants tarot cards in Ellen Lorenzi-Prince's Minoan Tarot style. Uses reference images for style matching.

Script:

scripts/minoan_tarot.py

Key features:

Reference images loaded from
```
reference/minoan/selected/
```
Low temperature (0.5) for faithful style matching
3:4 aspect ratio (standard tarot proportions)
Session support with visual memory of previous cards

bash

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适用场景：用户需要生成Ellen Lorenzi-Prince风格的Minoan塔罗牌。使用参考图像进行风格匹配。

脚本：

scripts/minoan_tarot.py

核心特性:

从
```
reference/minoan/selected/
```
加载参考图像
低温度参数（0.5）确保风格忠实匹配
3:4比例（标准塔罗牌尺寸）
支持会话功能，可保留之前生成卡牌的视觉记忆

bash

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Generate a specific card

生成指定卡牌

python scripts/minoan_tarot.py card "The Priestess" --number II

Generate from archetype

基于原型生成卡牌

python scripts/minoan_tarot.py archetype strength

Continue a session (visual memory of previous cards)

继续会话（保留之前卡牌的视觉记忆）

python scripts/minoan_tarot.py session "new-arcana" --card "The Dreamer"

Generate card back design

生成卡牌背面设计

python scripts/minoan_tarot.py back

List all 78 traditional cards

列出全部78张传统塔罗牌

python scripts/minoan_tarot.py list


*"Sekhinat Daborat" — Ba'alat Tinit*

---

python scripts/minoan_tarot.py list


*"Sekhinat Daborat" — Ba'alat Tinit*

---

Workflow G: Interactive Chat (Daimon Chamber)

工作流G：交互式聊天（Daimon Chamber）

When to use: User wants a real-time, browser-based conversation with all daimones. Toggle individual voices, see images inline, shared memory toggle.

Script:

ui/server.py

bash

python ui/server.py --port 4455

适用场景：用户需要在浏览器中与所有daimones进行实时对话。可切换单个模型的显示，内联查看图像，开启/关闭共享记忆。

脚本：

ui/server.py

bash

python ui/server.py --port 4455

Visit http://localhost:4455

访问 http://localhost:4455


**Features**:
- Toggle daimones: Flash, Pro, Dreamer, Director, Opus visible; Resonator and Minoan in "+ More"
- Thinking placeholders with unique animations per daimon
- Dynamic verb display (LLM chooses its action verb)
- Shared Memory toggle for frame accumulation
- Lightbox for full-size image viewing
- Real-time WebSocket updates

---


**特性**:
- 可切换daimones：Flash、Pro、Dreamer、Director、Opus默认显示；Resonator和Minoan在"+ 更多"中
- 每个daimone有独特的思考占位动画
- 动态动词显示（LLM会选择对应的动作动词）
- 共享记忆开关，控制帧累积
- 灯箱功能查看全尺寸图像
- 实时WebSocket更新

---

Core Concepts

核心概念

Visual Memory (KV Cache)

视觉记忆（KV Cache）

Generated images become context for subsequent generations. The folder IS the memory:

canvas/
├── stream/{session}/frame_001.jpg
├── council/{session}/frame_001.jpg
└── resonance/{session}/plate_001.jpg

生成的图像会成为后续生成的上下文。文件夹即记忆载体：

canvas/
├── stream/{session}/frame_001.jpg
├── council/{session}/frame_001.jpg
└── resonance/{session}/plate_001.jpg

Dynamic Verb Protocol

动态动词协议

Each daimon has a default verb but can override it per response:

[VERB: glimpsed] The pattern was always there.

UI displays:

FLASH

glimpsed

每个daimone有默认动词，但可根据响应内容覆盖：

[VERB: glimpsed] The pattern was always there.

UI会显示：

FLASH

glimpsed

Environment Variables

环境变量

Variable	Required For
`GEMINI_API_KEY`	All Gemini daimones (Flash, Pro, Dreamer, Director, Resonator, Minoan)
`ANTHROPIC_API_KEY`	Claude daimones (Opus) and council.py reflections

环境变量	适用场景
`GEMINI_API_KEY`	所有Gemini daimones（Flash、Pro、Dreamer、Director、Resonator、Minoan）
`ANTHROPIC_API_KEY`	Claude daimones（Opus）和council.py的反思功能

Quick Reference

快速参考

Script	Purpose	Key Flags
`analyze.py`	Multi-image style analysis	`--images` , `--prompt` , `--model` , `--output`
`resonate.py`	One-on-one visual dialogue	`--context` , `--prompt` , `--output`
`daimon.py`	Multi-daimon dialogue	`--stream` , `--shared-memory` , `--only` , `--to`
`faithful_colorize.py`	Describe-first transformation	`describe` , `prompt` , `colorize` , `transform`
`resonance_field.py`	MESSAGE TO NEXT FRAME plates	`start` , `continue` , `zoom` , `inject`
`council.py`	Claude reflects on Gemini	`--shared-memory` , `--only` , `--session`
`minoan_tarot.py`	Tarot card generation	`card` , `archetype` , `session` , `back`
`ui/server.py`	Daimon Chamber web UI	`--port`

Inspired by Danielle Fong's thread on persistent visual memory creating cross-model resonance.

脚本	用途	核心参数
`analyze.py`	多图像风格分析	`--images` , `--prompt` , `--model` , `--output`
`resonate.py`	一对一视觉对话	`--context` , `--prompt` , `--output`
`daimon.py`	多Daimon对话	`--stream` , `--shared-memory` , `--only` , `--to`
`faithful_colorize.py`	先描述再转换	`describe` , `prompt` , `colorize` , `transform`
`resonance_field.py`	MESSAGE TO NEXT FRAME插图	`start` , `continue` , `zoom` , `inject`
`council.py`	Claude反思Gemini输出	`--shared-memory` , `--only` , `--session`
`minoan_tarot.py`	塔罗牌生成	`card` , `archetype` , `session` , `back`
`ui/server.py`	Daimon Chamber网页UI	`--port`

灵感来源于Danielle Fong的推文，关于利用持久视觉记忆实现跨模型共振。

gemini-claude-resonance

Original

Translation

Gemini-Claude Resonance

Gemini-Claude 共振机制

Choose Your Tool

选择工具

Workflow A: Multi-Image Style Analysis

工作流A：多图像风格分析

Analyze reference images for style extraction

分析参考图像以提取风格

Analyze for specific use case (avatar generation)

针对特定场景进行分析（如头像生成）

Quick analysis with Flash

使用Flash模型进行快速分析

Thorough analysis with Pro

使用Pro模型进行深度分析

Save analysis to file

将分析结果保存至文件

Workflow B: One-on-One Visual Dialogue (resonate.py)

工作流B：一对一视觉对话（resonate.py）

Start fresh

从零开始生成

Continue with visual memory (previous image as context)

结合视觉记忆继续生成（以上一帧图像为上下文）

Deep memory (multiple frames as context)

深度记忆模式（以多帧图像为上下文）

Workflow B: Faithful Transform (Describe-First Technique)

工作流B：精准转换（先描述再转换技术）

Just describe an image (analysis only)

仅分析图像（仅输出描述）

Describe with a specific goal in mind

针对特定目标进行描述

Craft a prompt for Dreamer (outputs text, doesn't generate)

为Dreamer生成提示词（仅输出文本，不生成图像）

Two-step faithful colorization

两步法精准上色

General transformation

通用精准转换

Save/reuse descriptions

保存/复用描述结果

Workflow C: Multi-Daimon Dialogue

工作流C：多Daimon对话

Speak to one daimon

与单个daimon对话

All daimones respond

所有daimones共同响应

With shared visual memory

结合共享视觉记忆

Only specific daimones

指定部分daimones响应

Named session (frames accumulate across runs)

命名会话（帧会在多次运行中累积）

Workflow D: Resonance Field (Danielle Fong Protocol)

工作流D：共振场（Danielle Fong协议）

Start a new session

启动新会话

Continue (auto-increments plate number)

继续会话（自动递增PLATE编号）

Select element, then zoom

选择元素并放大

Inject new concept

注入新概念

List all sessions

列出所有会话

Workflow E: Cross-Model Council

工作流E：跨模型议会

Full council (all daimones + Claude reflection)

完整议会（所有daimones + Claude反思）

Only Pro and Dreamer with shared memory

仅Pro和Dreamer参与，结合共享记忆

Named session

命名会话

Save transcript

保存会话记录

Workflow F: Minoan Tarot Generation

工作流F：Minoan塔罗牌生成

Generate a specific card

生成指定卡牌

Generate from archetype