๐ฌ FLUX2 PORTRAIT โ Cinematic Realism Workflow | fp8 Optimized | 1024ร1024 | Zero CFG
่ฉณ็ดฐ
ใใกใคใซใใใฆใณใญใผใ (1)
ใใฎใใผใธใงใณใซใคใใฆ
ใขใใซ่ชฌๆ
> "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) โ designed from the ground up for photorealistic, cinematic portrait
generation at 1024ร1024. No CFG hacks. No LoRA stacking required. Just pure FLUX power.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โก WHY THIS WORKFLOW IS DIFFERENT
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Uses BasicGuider โ FLUX's native CFG-free guidance (no distortion, no oversaturation)
โ SamplerCustomAdvanced pipeline โ full control over noise, sigmas & sampler
โ fp8 e4m3fn precision โ runs on 8GB+ VRAM, no quality loss
โ Dual CLIP (clip_l + t5xxl) โ maximum prompt adherence
โ Euler sampler + Simple scheduler @ 20 steps โ fast, sharp, consistent
โ Randomized seed by default โ infinite variation, zero repetition
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฆ REQUIRED MODELS (place in correct folders)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
| 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/ |
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฅ๏ธ SYSTEM REQUIREMENTS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
- VRAM: 8GB minimum (12GB+ recommended for comfort)
- ComfyUI: Latest version
- Python: 3.10+
- No extra custom nodes needed โ 100% native ComfyUI nodes
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ STARTER PROMPT (edit the CLIPTextEncode node)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ 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 โ FLUX's T5 encoder handles detail natively
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ TUNING GUIDE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
| Parameter | Default | Range | Effect |
|-----------|---------|--------|--------|
| Steps | 20 | 15โ30 | Higher = sharper details |
| Resolution | 1024ร1024 | 768โ1280 | Keep aspect ratio native |
| Scheduler | simple | simple / karras | Simple = cleaner portraits |
| Sampler | euler | euler / dpm++ | euler = most consistent |
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ WORKFLOW ARCHITECTURE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
UNETLoader โโโบ BasicGuider โโโบ
DualCLIPLoader โโโบ CLIPTextEncode โโโบ BasicGuider
โ
VAELoader โโโโโโโโโโโโโโโโโโโโโโโโโโโบ VAEDecode โโโบ SaveImage
โฒ
RandomNoise โโโบ โ
KSamplerSelect โโโบ SamplerCustomAdvanced โโโบ
BasicScheduler โโโบ
EmptyLatentImage โโโบ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ FAQ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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 1024ร1024 (โ1MP).
Q: Why no negative prompt?
A: FLUX with BasicGuider is CFG-free โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฌ SHARE YOUR RESULTS!
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Drop your generations in the images tab. I feature the best ones! โญ
If this workflow saved you time, a ๐ and โญ mean the world.
Questions? Drop them in the comments โ I reply to everything.
โ socialtechie7







