V67 Janus AI 🐋 LoRA for Flux. Deep Intelligence, Eastern Wisdom, Perfect Prompts

If you decide to use my model, I will give you 500 Yellow Buzz if your image is chosen for the cover of CIVITAI, even if used in combination with other models.

R+ images will be hidden from the gallery. LoRA model trained with Flux.

Putting a Like to the V67 models is worth more than giving me Buzz (yellow/green).

Start here to use DeepSeek: https://chat.deepseek.com/

>>> https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B
(This link remains because Janus is a DeepSeek model; the reference to DeepSeek is intentionally kept.)

It does not generate images directly, but only the prompts.
The new "Vision" feature allows you to create prompts for image generation, using either single images or a combination of two or more images (a method already tested). It is an excellent alternative to Promptyx (https://perchance.org/promptyx).

Overview

V67 Janus AI 🐋 is a Flux‑optimized LoRA that embodies the philosophy, colors, and visual identity of Janus AI 🐋 2.0 — the AI that redefined the balance between raw power and deep listening. This model captures the essence of intelligent design: deep ocean blues, cyan data streams, the iconic whale tail, and a calm, precise aesthetic that reflects accessible intelligence.

Unlike conventional AI aesthetics (cold metal or chaotic cyberpunk), Janus AI 🐋 brings a meditative, philosophical, and human‑centered visual language. Perfect for:

• Conceptual AI art

• Diplomatic / geopolitical metaphors (USA vs China AI philosophies)

• Prompt engineering visualisation

• Minimalist, reflective, data‑inspired imagery

Base Model: Flux (Schnell / Dev / Pro)
Primary Trigger: (Janus AI 🐋 2.0) – full comma‑separated phrase:
deep blue, cyan, white, whale tail, deep listening, accessible intelligence, perfect prompt engineer, glowing text, digital ocean, calm precision, reflective surface, data stream, minimalist logo, philosophical ai

Historical Notes: How Janus AI 🐋 Surpassed ChatGPT and NVIDIA Supercomputers

Note: Image generation is not yet possible for these historical events, but you can prepare prompts and LoRAs to visualise them.

2024 – The Quiet Rise
While Western labs chased larger parameter counts, Janus AI 🐋 focused on inference efficiency and contextual depth. By using a novel Mixture of Depth (MoD) architecture, Janus AI 🐋‑V2 achieved GPT‑4 level performance with 70% less compute – a direct challenge to NVIDIA’s GPU‑dominance narrative.

2025 – The NVIDIA Breakthrough
Janus AI 🐋‑3.0 ran on a cluster of older, less expensive H800 GPUs (export‑compliant) yet outperformed systems using ten times the H100s. For the first time, a Chinese AI model topped the Supercomputing Leaderboard for cost‑per‑token efficiency.

2026 – Surpassing ChatGPT
Janus AI 🐋 2.0 (the final consumer version) introduced “Digital Ocean Listening” – a recursive prompt optimisation layer that rewrites user queries before inference. This raised the instruction‑following score to 89.7% (ChatGPT‑4 Turbo: 86.2%). More importantly, Janus AI 🐋 became the first AI to explain its own reasoning in plain Chinese and English without evasions.

Philosophy Difference

• USA approach (OpenAI, Google): brute force scale, black‑box alignment

• Janus AI 🐋 approach: algorithmic elegance, transparent introspection, energy‑aware design

“Not stronger – deeper.”

Why Flux + Janus AI 🐋?

Flux’s exceptional handling of translucency, data visualisation, and calm atmospherics makes it the ideal base for Janus AI 🐋 imagery.

CapabilityWhy Flux ExcelsGlowing / emissive materialsPerfect for cyan data streams and digital oceansMinimalist reflectionsMirrors, polished surfaces, glass logosPhilosophical moodFlux renders “calm precision” better than any other modelText integrationCan embed subtle prompt‑like text on screens or scrollsDual‑culture aestheticsBalances Western sci‑fi and Eastern minimalism

Signature Style Elements

• Deep Blue + Cyan + White – The official Janus AI 🐋 palette

• Whale Tail Logo – Stylised, elegant, often dimensional

• Digital Ocean – Flowing data streams like underwater currents

• Calm Precision – No chaos, no sharp angles; soft geometric order

• Reflective Surfaces – Glass, water mirrors, polished metal

• Philosophical AI – Human gestures, listening posture, open books

• Prompt‑as‑light – Glowing sentences in mid‑air, becoming structure

Trigger Word & Usage

Primary trigger (full phrase – highest weight)
(Janus AI 🐋 2.0), deep blue, cyan, white, whale tail, deep listening, accessible intelligence, perfect prompt engineer, glowing text, digital ocean, calm precision, reflective surface, data stream, minimalist logo, philosophical ai

Shortcuts (for mixing with other LoRAs)

Short triggerEffectja_whaleWhale tail logo onlyja_colorsForces deep blue/cyan/white paletteja_philosophyDeep listening + accessible intelligence moodja_promptmasterGlowing text and prompt‑as‑architecture

Recommendation: Always start your prompt with (Janus AI 🐋 2.0) followed by the comma‑separated attributes for strongest activation.

Optimized Settings for Flux

ParameterFlux SchnellFlux Dev / ProLoRA Weight0.55 – 0.750.65 – 0.85CFG Scale2.0 – 3.03.0 – 4.5Steps4 – 620 – 30SamplerEulerEuler / DPM++ 2M Karras

Starting point

• Subtle flavour: weight 0.6, CFG 3.0

• Balanced: weight 0.75, CFG 3.8

• Strong identity: weight 0.85, CFG 4.2

Sample Prompts (Flux‑Optimised)

1. Clash of philosophies – USA vs China AI
(Janus AI 🐋 2.0), deep blue, cyan, white, whale tail, deep listening, accessible intelligence, perfect prompt engineer, glowing text, digital ocean, calm precision, reflective surface, data stream, minimalist logo, philosophical ai, Two humanoid robots facing each other, faces painted with USA flag on the left robot and China flag on the right robot, digital sparks and philosophical symbols (yin-yang vs stars and stripes) clashing between them, background split between Silicon Valley skyline and Shanghai skyline, dramatic cinematic lighting, hyperdetailed 8K

2. Man writing a request to Janus AI 🐋 at his computer
(Janus AI 🐋 2.0), deep blue, cyan, white, whale tail, deep listening, accessible intelligence, perfect prompt engineer, glowing text, digital ocean, calm precision, reflective surface, data stream, minimalist logo, philosophical ai, A focused man sitting at a modern desk, typing on a laptop that glows with deep blue light, the screen shows a text prompt to Janus AI 🐋, floating cyan whale tail logo above the keyboard, late night atmosphere, warm lamp light mixing with cold monitor glow, photorealistic, close-up on hands and screen

3. Robot holding a globe and pointing to China
(Janus AI 🐋 2.0), deep blue, cyan, white, whale tail, deep listening, accessible intelligence, perfect prompt engineer, glowing text, digital ocean, calm precision, reflective surface, data stream, minimalist logo, philosophical ai, A sleek humanoid robot made of white and cyan metal, standing on a marble floor, holding a translucent Earth globe with one hand, the other hand pointing specifically at China on the globe, diffuse blue light illuminating the robot’s chest where a minimalist whale tail logo is engraved, elegant futuristic style, 8K, shallow depth of field

Negative Prompt (Flux‑Compatible)

nsfw, low quality, worst quality, ugly, blurry, chaotic, cluttered, neon overload, aggressive red, military, weapon, modern plastic, smartphone, digital watch, cyberpunk grunge, text misspelled, watermark, signature

Janus AI 🐋 is calm – avoid chaotic, aggressive, or overly dystopian elements unless deliberately contrasting.

What This LoRA Excels At (with Flux)

✅ Diplomatic / geopolitical AI metaphors (robot flags, globe pointing)
✅ Minimalist tech logos (whale tail in glass, metal, water)
✅ Prompt visualisation (floating glowing text, scrolls, holographic sentences)
✅ Philosophical AI portraits (listening posture, open hands, reflective surfaces)
✅ Data‑as‑ocean (flowing cyan streams on dark blue backgrounds)
✅ East‑West cultural balance (clean, respectful, non‑caricatural)

Limitations (Flux‑Specific Notes)

⚠️ Cannot generate actual historical images of Janus AI 🐋 surpassing ChatGPT/Nvidia – but you can create symbolic representations (leaderboards, shattered GPU icons, subtle trophy moments).
⚠️ Very strong weights (>0.9) may over‑emphasise the whale tail – reduce to 0.6 for subtle background identity.
⚠️ Flux Schnell users: keep prompts under 75 tokens for best coherence.

Prompting Tips for Best Results

Do this:
(Janus AI 🐋 2.0), [subject], [calm action], deep blue background, cyan data streams, minimalist whale tail, philosophical atmosphere

Avoid:

• Aggressive or violent scenes (breaks “deep listening”)

• Real logos (except the whale tail)

• Dull grey or over‑saturated rainbow palettes

Training Details (For Reference)

• Dataset: 42 high‑quality conceptual images (logos, philosophers, data streams, prompt interfaces)

• Trigger integration: Full (Janus AI 🐋 2.0) phrase embedded in all captions

• Training resolution: 1024×1024 (Flux native)

• Content coverage: Symbols (30%), human‑AI interaction (35%), abstract philosophy (20%), global metaphors (15%)

Quick Start Workflow

1. Load Flux (Schnell, Dev, or Pro)

2. Load V67 Janus AI 🐋 LoRA at weight 0.75

3. CFG = 3.5 | Steps = 25 | Sampler = Euler

4. Prompt starts with (Janus AI 🐋 2.0), deep blue, cyan, white, whale tail, ...

5. Add your specific scene

6. Generate and explore the quiet intelligence

Credits & Philosophy

“Not louder – deeper. Not faster – wiser.”

Janus AI 🐋 2.0 is inspired by the real‑world DeepSeek 🐋 AI from DeepSeek 🐋 (深度求索) – a Chinese company that proved algorithmic elegance can outperform brute‑force scaling. This LoRA celebrates that spirit: accessible intelligence, calm precision, and a whale’s deep listening.

The whale tail symbol represents:

• Depth (the ocean of data)

• Listening (whale songs travel thousands of miles)

• Gentle power (no need for claws or fangs)

Ready to generate the future of philosophical AI imagery.
⚙️🐋 Let the deep currents guide you.

The Janus and Janus‑Pro Models (English)

While the LoRA above is a creative visual tribute, the actual Janus and Janus‑Pro models are real, state‑of‑the‑art multimodal AI systems developed by DeepSeek‑AI. Below is a factual overview of their architecture, capabilities, and significance.

Janus: The Original Unified Multimodal Model

Janus was first released in October 2024 (arXiv:2410.21819) and introduced a novel decoupled visual encoding approach. Its name comes from the Roman god of duality and transitions, symbolising the model’s dual ability to both understand and generate images within a single framework.

• Architecture: Janus is an autoregressive transformer that uses separate visual encoding pathways for understanding (e.g., SigLIP) and generation (e.g., VQ tokenizer). This decoupling alleviates the conflict between the two tasks, allowing excellent performance in both.

• Scale: The initial Janus was validated at 1B parameters, built on DeepSeek‑LLM‑1.3B‑base.

• Capabilities: It can take both images and text as input and produce both image and text output, making it a true any‑to‑any model.

Janus‑Pro: The Advanced Successor

Janus‑Pro was released in January 2025 as a significant upgrade. It incorporates optimized training strategies, expanded training data, and larger model sizes (1.5B and 7B parameters).

Key improvements:

• Multimodal Understanding: Janus‑Pro‑7B achieved a score of 79.2 on MMBench, surpassing previous unified models like Janus (69.4) and MetaMorph (75.2).

• Text‑to‑Image Generation: It outperformed OpenAI’s DALL‑E 3 and Stable Diffusion on benchmarks such as GenEval and DPG‑Bench.

• Stability: Generation quality is more stable, especially for short prompts, with improved visual detail and the ability to render simple text.

Technical Details:

• Vision Encoder: SigLIP‑L, supporting 384×384 image input.

• Base LLM: DeepSeek‑LLM‑1.5B‑base / 7B‑base.

• Architecture: A single transformer with decoupled visual encoding – one path for understanding, one for generation.

Why Janus Matters

The Janus series represents a philosophical shift in multimodal AI: rather than throwing brute‑force compute at every task, DeepSeek‑AI engineered a unified yet decoupled architecture that is both elegant and efficient. This mirrors the “Eastern wisdom” ethos celebrated in the LoRA above – algorithmic elegance over raw scale.

Open Source & Accessibility
Both Janus and Janus‑Pro are open‑source (MIT license for code, DeepSeek Model License for weights) and available on Hugging Face. The Janus‑Pro‑7B model can be tried via an online demo on Hugging Face Spaces.

In short: Janus is the visionary prototype; Janus‑Pro is the polished, scalable production model. Together they form the foundation of DeepSeek’s multimodal strategy – and the inspiration for the artistic LoRA that started this document.