3 posts
Deep technical guide for Black Forest Labs' FLUX.1 image generation model: founding team story (ex-Stability AI Robin Rombach team), Rectified Flow Transformer architecture (DiT + flow matching), 4 variants (Schnell Apache 2.0, Dev non-commercial, Pro API, 1.1 Pro Ultra), training methodology, benchmarks (human face, hands, text), ComfyUI + Diffusers + Forge installation step-by-step, ControlNet + LoRA + IP-Adapter for Flux, prompt engineering specifics, T5 vs CLIP text encoder differences, GGUF quantization (8-bit, 4-bit, NF4), Mistral Le Chat integration, 20+ Turkish use cases, troubleshooting (OOM, NaN, slow), KVKK self-host.
Detailed head-to-head of four main AI image-gen models: Midjourney V7 (aesthetic champion), OpenAI DALL-E 3 / GPT-Image (ChatGPT integrated), Stable Diffusion 3.5 / SDXL (open-source), Black Forest Labs FLUX (newest photoreal). Quality, pricing, commercial rights, KVKK + Turkish law, speed, Turkish prompt fluency, ControlNet/LoRA advanced features, 12-scenario selection guide.
The most comprehensive 2026 Turkish reference on multimodal AI. Vision-Language models (CLIP, GPT-5 Vision, Claude Opus 4.7 Vision, Gemini 3), audio models (Whisper, ElevenLabs, Suno), video models (Sora 2, Veo 3, Kling), unified multimodal architecture (cross-attention, fusion methods), training data, enterprise use cases (medical imaging, autonomous, content, deepfake detection), KVKK + copyright, 3 Turkish enterprise case studies, and 2026-2030 outlook.