10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 579 ms
modelrecord
- black-forest-labs/flux-fill-pro
Professional inpainting and outpainting model with state-of-the-art performance. Edit or extend images with natural, seamless results.
- black-forest-labs/flux-fill-pro
modelrecord
- black-forest-labs/flux-fill-dev
Open-weight inpainting model for editing and extending images. Guidance-distilled from FLUX.1 Fill [pro].
- black-forest-labs/flux-fill-dev
modelrecord
- black-forest-labs/flux-1.1-pro
Faster, better FLUX Pro. Text-to-image model with excellent image quality, prompt adherence, and output diversity.
- black-forest-labs/flux-1.1-pro
modelrecord
- black-forest-labs/flux-pro
State-of-the-art image generation with top of the line prompt following, visual quality, image detail and output diversity.
- black-forest-labs/flux-pro
modelrecord
- black-forest-labs/flux-1.1-pro-ultra
FLUX1.1 [pro] in ultra and raw modes. Images are up to 4 megapixels. Use raw mode for realism.
- black-forest-labs/flux-1.1-pro-ultra
modelrecord
- black-forest-labs/flux-1.1-pro-ultra-finetuned
Inference model for FLUX 1.1 [pro] Ultra using custom `finetune_id`. Supports 4MP images and raw mode for realism
- black-forest-labs/flux-1.1-pro-ultra-finetuned
modelrecord
- black-forest-labs/flux-pro-finetuned
Inference model for FLUX.1 [pro] using custom `finetune_id`
- black-forest-labs/flux-pro-finetuned
modelrecord
- black-forest-labs/flux-2-pro
High-quality image generation and editing with support for eight reference images
- black-forest-labs/flux-2-pro
modelrecord
- black-forest-labs/flux-depth-pro
Professional depth-aware image generation. Edit images while preserving spatial relationships.
- black-forest-labs/flux-depth-pro
modelrecord
- black-forest-labs/flux-kontext-pro
A state-of-the-art text-based image editing model that delivers high-quality outputs with excellent prompt following and consistent results for transforming images through natural language
- black-forest-labs/flux-kontext-pro
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.