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.
Comprehensive Turkish guide to Midjourney V7 from zero to professional: signup, Discord + web UI, prompt fundamentals, parameters (--ar --s --c --weird --niji), Style Reference, Character Reference, Image Prompt, Vary (Region), Pan, Zoom, Upscale, Custom Presets, pricing + commercial rights, KVKK, Turkish prompt strategies, 25+ practical prompt examples, 10 professional use-cases.
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.