DeepSeek Janus Pro & Flux: Img2Img

Introduction

This DeepSeek+Flux workflow combines three cutting-edge AI technologies—Deepseek Janus-Pro-7B, Flux text-to-image, and style-specific LoRA—to create a seamless image-to-prompt-to-image generator. Here’s how it works:

1. Deepseek Janus-Pro-7B: A multimodal model with advanced reasoning capabilities, designed to analyze images (landscapes, portraits, etc.) and generate highly accurate and detailed text prompts. Its architecture uses a SigLIP-L vision encoder (384x384px resolution) to decode visual elements like color gradients, object positioning, and lighting, then translates these into descriptive prompts with 90%+ semantic accuracy in benchmark tests.
2. Flux: A high-performance text-to-image generation framework by Black Forest Labs, optimized for speed and scalability. It excels at interpreting complex prompts to generate high-fidelity images, maintaining precise alignment between text descriptions and visual outputs.
3. Style-Specific LoRAs: Refine outputs with four LoRA adapters (FluxMyth for anime/NSFW art, RetroAnime for vintage grain, Dark-Fantasy for gothic drama, OB for 2.5D semi-realism).

The Goal: To evaluate how accurately Janus-Pro-7B—our image-to-prompt tool—restores colors, textures, and composition from reference images when generating new AI art. This workflow not only helps you generate similar images to your originals but also reveals the exact prompts behind them, acting as a dual-purpose AI tool for both creation and reverse-engineering.

Deepseek Janus-Pro-7B: Technical Highlights

Janus-Pro-7B is a unified multimodal AI model that excels at both understanding and generating images.

Key innovations:

• Decoupled Visual Encoding: Uses separate pathways for image analysis (via SigLIP-L vision encoder) and image generation (via tokenizer with 16x downsampling). This reduces conflicts between tasks.
• Autoregressive Framework: Built on DeepSeek-LLM-7b-base, it supports 384x384 image inputs for high-resolution understanding.
• Performance: Matches or exceeds specialized models in accuracy and flexibility (arXiv:2501.17811).

Learn more: https://huggingface.co/deepseek-ai/Janus-Pro-7B

DeepSeek+Flux Workflow Overview

How to Use DeepSeek+Flux Image to Image Workflow

Step 1: AI Image-to-Prompt Generation

Upload any reference image (e.g., a landscape photo). Janus-Pro-7B will:

• Analyze features like color schemes, object placement, and lighting.
• Output a detailed text prompt.

Step 2: Style Customization with LoRA

• FluxMyth: Anime-style LoRA with NSFW capability, ideal for dynamic character art.
• RetroAnime: Flat 2D illustrations with subtle film grain, perfect for vintage aesthetics.
• Dark-Fantasy: Gothic LoRA that adds moody shadows and dramatic lighting for horror scenes.
• OB: Semi-realistic 2.5D portrait LoRA balancing anime charm with lifelike textures.

To emphasize a particular style, increase the weight of your preferred LoRA. However, keep the weight below 0.8 to avoid image distortion or generation failures.

Step 3: Generate the Final Image

Flux creates a new image based on the DeepSeek prompt. You can compare it to the original to evaluate:

• Color accuracy: Does the AI preserve the original palette?
• Detail retention: Are textures/shapes consistent?

Conclusion

This workflow is a two-in-one AI solution: first, it acts as a image-to-prompt generator, transforming your reference images into detailed text descriptions with Deepseek Janus-Pro-7B. Then, it becomes an AI image-to-image tool, using Flux and style-specific LoRA to generate new images that mirror your original’s essence. Whether you’re analyzing how prompts map to visuals or remixing existing art into fresh creations, this image-to-prompt-to-image pipeline offers unmatched precision. Test it today to reverse-engineer AI art prompts and regenerate high-fidelity images in one seamless flow.