Updated: Oct 3, 2026
conceptV67 Janus AI š 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 š is a Fluxāoptimized LoRA that embodies the philosophy, colors, and visual identity of Janus AI š 2.0 ā 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 š brings a meditative, philosophical, and humanācentered visual language. Perfect for:
Conceptual AI art
Diplomatic / geopolitical metaphors (USA vs China AI philosophies)
Prompt engineering visualisation
Minimalist, reflective, dataāinspired imagery
Base Model: Flux (Schnell / Dev / Pro)
Primary Trigger: (Janus AI š 2.0) ā full commaāseparated 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 š 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 ā The Quiet Rise
While Western labs chased larger parameter counts, Janus AI š focused on inference efficiency and contextual depth. By using a novel Mixture of Depth (MoD) architecture, Janus AI šāV2 achieved GPTā4 level performance with 70% less compute ā a direct challenge to NVIDIAās GPUādominance narrative.
2025 ā The NVIDIA Breakthrough
Janus AI šā3.0 ran on a cluster of older, less expensive H800 GPUs (exportācompliant) yet outperformed systems using ten times the H100s. For the first time, a Chinese AI model topped the Supercomputing Leaderboard for costāperātoken efficiency.
2026 ā Surpassing ChatGPT
Janus AI š 2.0 (the final consumer version) introduced āDigital Ocean Listeningā ā a recursive prompt optimisation layer that rewrites user queries before inference. This raised the instructionāfollowing score to 89.7% (ChatGPTā4 Turbo: 86.2%). More importantly, Janus AI š 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, blackābox alignment
Janus AI š approach: algorithmic elegance, transparent introspection, energyāaware design
āNot stronger ā deeper.ā
Why Flux + Janus AI š?
Fluxās exceptional handling of translucency, data visualisation, and calm atmospherics makes it the ideal base for Janus AI š imagery.
CapabilityWhy Flux ExcelsGlowing / emissive materialsPerfect for cyan data streams and digital oceansMinimalist reflectionsMirrors, polished surfaces, glass logosPhilosophical moodFlux renders ācalm precisionā better than any other modelText integrationCan embed subtle promptālike text on screens or scrollsDualāculture aestheticsBalances Western sciāfi and Eastern minimalism
Signature Style Elements
Deep Blue + Cyan + White ā The official Janus AI š palette
Whale Tail Logo ā Stylised, elegant, often dimensional
Digital Ocean ā Flowing data streams like underwater currents
Calm Precision ā No chaos, no sharp angles; soft geometric order
Reflective Surfaces ā Glass, water mirrors, polished metal
Philosophical AI ā Human gestures, listening posture, open books
Promptāasālight ā Glowing sentences in midāair, becoming structure
Trigger Word & Usage
Primary trigger (full phrase ā highest weight)(Janus AI š 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 promptāasāarchitecture
Recommendation: Always start your prompt with (Janus AI š 2.0) followed by the commaāseparated attributes for strongest activation.
Optimized Settings for Flux
ParameterFlux SchnellFlux Dev / ProLoRA Weight0.55 ā 0.750.65 ā 0.85CFG Scale2.0 ā 3.03.0 ā 4.5Steps4 ā 620 ā 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 (FluxāOptimised)
1. Clash of philosophies ā USA vs China AI(Janus AI š 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 š at his computer(Janus AI š 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 š, 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 š 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 robotās chest where a minimalist whale tail logo is engraved, elegant futuristic style, 8K, shallow depth of field
Negative Prompt (FluxāCompatible)
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 š is calm ā avoid chaotic, aggressive, or overly dystopian elements unless deliberately contrasting.
What This LoRA Excels At (with Flux)
ā
Diplomatic / geopolitical AI metaphors (robot flags, globe pointing)
ā
Minimalist tech logos (whale tail in glass, metal, water)
ā
Prompt visualisation (floating glowing text, scrolls, holographic sentences)
ā
Philosophical AI portraits (listening posture, open hands, reflective surfaces)
ā
Dataāasāocean (flowing cyan streams on dark blue backgrounds)
ā
EastāWest cultural balance (clean, respectful, nonācaricatural)
Limitations (FluxāSpecific Notes)
ā ļø Cannot generate actual historical images of Janus AI š surpassing ChatGPT/Nvidia ā but you can create symbolic representations (leaderboards, shattered GPU icons, subtle trophy moments).
ā ļø Very strong weights (>0.9) may overāemphasise the whale tail ā reduce to 0.6 for subtle background identity.
ā ļø Flux Schnell users: keep prompts under 75 tokens for best coherence.
Prompting Tips for Best Results
Do this:(Janus AI š 2.0), [subject], [calm action], deep blue background, cyan data streams, minimalist whale tail, philosophical atmosphere
Avoid:
Aggressive or violent scenes (breaks ādeep listeningā)
Real logos (except the whale tail)
Dull grey or overāsaturated rainbow palettes
Training Details (For Reference)
Dataset: 42 highāquality conceptual images (logos, philosophers, data streams, prompt interfaces)
Trigger integration: Full
(Janus AI š 2.0)phrase embedded in all captionsTraining resolution: 1024Ć1024 (Flux native)
Content coverage: Symbols (30%), humanāAI interaction (35%), abstract philosophy (20%), global metaphors (15%)
Quick Start Workflow
Load Flux (Schnell, Dev, or Pro)
Load V67 Janus AI š LoRA at weight 0.75
CFG = 3.5 | Steps = 25 | Sampler = Euler
Prompt starts with
(Janus AI š 2.0), deep blue, cyan, white, whale tail, ...Add your specific scene
Generate and explore the quiet intelligence
Credits & Philosophy
āNot louder ā deeper. Not faster ā wiser.ā
Janus AI š 2.0 is inspired by the realāworld DeepSeek š AI from DeepSeek š (深度ę±ē“¢) ā a Chinese company that proved algorithmic elegance can outperform bruteāforce scaling. This LoRA celebrates that spirit: accessible intelligence, calm precision, and a whaleās 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.
āļøš Let the deep currents guide you.
The Janus and JanusāPro Models (English)
While the LoRA above is a creative visual tribute, the actual Janus and JanusāPro models are real, stateāofātheāart multimodal AI systems developed by DeepSeekāAI. 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 modelās 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 DeepSeekāLLMā1.3Bābase.
Capabilities: It can take both images and text as input and produce both image and text output, making it a true anyātoāany model.
JanusāPro: The Advanced Successor
JanusāPro 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: JanusāProā7B achieved a score of 79.2 on MMBench, surpassing previous unified models like Janus (69.4) and MetaMorph (75.2).
TextātoāImage Generation: It outperformed OpenAIās DALLāE 3 and Stable Diffusion on benchmarks such as GenEval and DPGāBench.
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: SigLIPāL, supporting 384Ć384 image input.
Base LLM: DeepSeekāLLMā1.5Bābase / 7Bābase.
Architecture: A single transformer with decoupled visual encoding ā one path for understanding, one for generation.
Why Janus Matters
The Janus series represents a philosophical shift in multimodal AI: rather than throwing bruteāforce compute at every task, DeepSeekāAI engineered a unified yet decoupled architecture that is both elegant and efficient. This mirrors the āEastern wisdomā ethos celebrated in the LoRA above ā algorithmic elegance over raw scale.
Open Source & Accessibility
Both Janus and JanusāPro are openāsource (MIT license for code, DeepSeek Model License for weights) and available on Hugging Face. The JanusāProā7B model can be tried via an online demo on Hugging Face Spaces.
In short: Janus is the visionary prototype; JanusāPro is the polished, scalable production model. Together they form the foundation of DeepSeekās multimodal strategy ā and the inspiration for the artistic LoRA that started this document.




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