Orakul ChronoCraft v1.0 (No Quantization / Full Stack Precision)
Welcome to a new level of analog photorealism for Flux 2. This model is designed for those who don't accept compromises in quality, compressed FP8 textures, or plasticky digital noise.
The model was trained on a unique, deeply researched dataset of premium watches, vintage movements, complex textures (leather, fine wood, tweed, wool, metals), and macro photography. Thanks to its high training speed, Laura absorbed not just external pixels, but the physics of materials, the volume of applied numerals, and the logic of master watchmakers.
✨ Key strengths of the model:
* Absolute materials science: Perfect rendering of matte titanium, satin-finished steel (sunburst), lacquered wood, patina, and alligator skin. * Textural photorealism: Flawless generation of organic matter (skin pores, hairs, micro folds) and the most complex suit fabrics (tweed, oxford cotton, chunky knit) in macro focus.
* Honest microtext: With proper prompting, the model is capable of rendering perfect Cyrillic characters ("Chaika," "Komandirskie," "Made in USSR") and complex brand fonts without latent mush.
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🚨 IMPORTANT: Geometry Manifesto (How to get the perfect result)
Flux 2 is a natural portrait artist and a genius with textures, but it's geometrically blind. If you type a simple prompt like "vintage watches," the model will produce divine fabric and leather textures, but the dial will be broken (see examples of "unsuccessful" generations with mush in the gallery).
To create a masterpiece, models need to be rigorously taught spatial coordinates. Use this template to control the circle and fonts:
👉 Golden Rule of Prompt:
Be sure to specify the precise placement of numerals: "'XII' is exactly at the top center, 'VI' is exactly at the bottom center, all other numerals are evenly spaced at perfect 30-degree intervals." Strictly eliminate unnecessary details: "Absolutely no extra subdials, no extra hands."
⚙️ Recommended settings in ComfyUI:
* Resolution: The model is maximized when generated from a large latent (2K to 3K) with minimal subsequent upscaling.
* Steps: Strictly 20 steps (with more steps, Euler can burn out the contrast).
* Sampler/Scheduler: Euler + Beta.
* Guidance Scale: 4.5
* LoRA Weight: 1.0 (full strength without compromise).
For example, a failed frame during a normal prompt:
