The FLUX.1-Kontext-dev model adopted by 4o-ghibli-at-home represents a current technological breakthrough in the field of image style conversion. The model intelligently applies Ghibli style features through a dynamic context-aware mechanism while maintaining the structural integrity of the original image. The project test data shows:
- For 512 x 512 resolution inputs, the model is able to accomplish style reconstruction while maintaining 99% key features (e.g., face contours, building lines)
- 3-5 times faster processing speed compared to traditional Neural Style Transfer algorithms
- The VRAM footprint is kept under 4GB, allowing GTX 1660-class graphics cards to run smoothly.
The performance is further optimized by the application of DFloat11 quantization technology. The technology compresses the model volume to 60% of the original version with almost no loss of output quality through 11-bit floating-point precision calculations. user-adjustable Detail parameter (level 1-10) in the .env configuration file actually controls the allocation of attention weights for the model's interlayer connections, which can be finely tuned by professional users to obtain personalized artistic effects.
This answer comes from the article4o-ghibli-at-home: locally run Ghibli-style image conversion tool》
