&gt; "The most consistent cinematic portrait results I've ever gotten from FLUX."This is a clean, battle-tested ComfyUI workflow built around the KREA FLUX2 Dev model (fp8_scaled) — designed from the ground up for photorealistic, cinematic portrait generation at 1024×1024. No CFG hacks. No LoRA stacking required. Just pure FLUX power.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⚡ WHY THIS WORKFLOW IS DIFFERENT━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━✅ Uses BasicGuider — FLUX's native CFG-free guidance (no distortion, no oversaturation)✅ SamplerCustomAdvanced pipeline — full control over noise, sigmas &amp; sampler✅ fp8 e4m3fn precision — runs on 8GB+ VRAM, no quality loss✅ Dual CLIP (clip_l + t5xxl) — maximum prompt adherence✅ Euler sampler + Simple scheduler @ 20 steps — fast, sharp, consistent✅ Randomized seed by default — infinite variation, zero repetition━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━📦 REQUIRED MODELS (place in correct folders)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━| File | Folder ||------|--------|| flux1-krea-dev_fp8_scaled.safetensors | /models/unet/ || clip_l.safetensors | /models/clip/ || t5xxl_fp8_e4m3fn.safetensors | /models/clip/ || flux2-vae.safetensors | /models/vae/ |━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━🖥️ SYSTEM REQUIREMENTS━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━- VRAM: 8GB minimum (12GB+ recommended for comfort)- ComfyUI: Latest version- Python: 3.10+- No extra custom nodes needed — 100% native ComfyUI nodes━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━✏️ STARTER PROMPT (edit the CLIPTextEncode node)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━📌 Tips for your own prompts:- Lead with the shot type: "close-up portrait", "cinematic headshot", "golden hour photo"- Add lighting: "soft box lighting", "rembrandt lighting", "neon backlight" - Add lens feel: "85mm f/1.4", "shallow depth of field", "bokeh background"- Keep it under 120 tokens — FLUX's T5 encoder handles detail natively━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⚙️ TUNING GUIDE━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━| Parameter | Default | Range | Effect ||-----------|---------|--------|--------|| Steps | 20 | 15–30 | Higher = sharper details || Resolution | 1024×1024 | 768–1280 | Keep aspect ratio native || Scheduler | simple | simple / karras | Simple = cleaner portraits || Sampler | euler | euler / dpm++ | euler = most consistent |━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━🔁 WORKFLOW ARCHITECTURE━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━UNETLoader ──► BasicGuider ──►DualCLIPLoader ──► CLIPTextEncode ──► BasicGuider │VAELoader ──────────────────────────► VAEDecode ──► SaveImage ▲RandomNoise ──► │KSamplerSelect ──► SamplerCustomAdvanced ──►BasicScheduler ──►EmptyLatentImage ──►━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━❓ FAQ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Q: Can I add a LoRA?A: Yes! Add a LoRALoader node between UNETLoader and BasicGuider. Portrait LoRAs work great.Q: Can I change resolution?A: Yes, edit the EmptyLatentImage node. Keep total pixels near 1024×1024 (≈1MP).Q: Why no negative prompt?A: FLUX with BasicGuider is CFG-free — negative prompts don't apply. FLUX just works.Q: My images look washed out?A: Make sure you're using flux2-vae.safetensors. The wrong VAE kills colors.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━💬 SHARE YOUR RESULTS!━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Drop your generations in the images tab. I feature the best ones! ⭐If this workflow saved you time, a 👍 and ⭐ mean the world.Questions? Drop them in the comments — I reply to everything.— socialtechie7

🎬 FLUX2 PORTRAIT — Cinematic Realism Workflow | fp8 Optimized | 1024×1024 | Zero CFG

v1.0 — Initial release- CFG-free pipeline using BasicGuider (native FLUX guidance)- fp8 e4m3fn precision — optimized for 8GB VRAM- Euler sampler + Simple scheduler @ 20 steps- Dual CLIP encoder (clip_l + t5xxl fp8) for maximum prompt adherence- Output resolution: 1024×1024- 100% native ComfyUI nodes — no custom nodes required

Files with SHA256: 03a1321a56ea5a93f8911b75e2b00c4ecf2b36bff1f42ab8753e62c797cf6f1e