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The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
> "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.
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⚡ WHY THIS WORKFLOW IS DIFFERENT
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✅ Uses BasicGuider — FLUX's native CFG-free guidance (no distortion, no oversaturation)
✅ SamplerCustomAdvanced pipeline — full control over noise, sigmas & 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
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📦 REQUIRED MODELS (place in correct folders)
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| 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/ |
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🖥️ SYSTEM REQUIREMENTS
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- VRAM: 8GB minimum (12GB+ recommended for comfort)
- ComfyUI: Latest version
- Python: 3.10+
- No extra custom nodes needed — 100% native ComfyUI nodes
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✏️ STARTER PROMPT (edit the CLIPTextEncode node)
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📌 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
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⚙️ TUNING GUIDE
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| 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 |
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🔁 WORKFLOW ARCHITECTURE
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UNETLoader ──► BasicGuider ──►
DualCLIPLoader ──► CLIPTextEncode ──► BasicGuider
│
VAELoader ──────────────────────────► VAEDecode ──► SaveImage
▲
RandomNoise ──► │
KSamplerSelect ──► SamplerCustomAdvanced ──►
BasicScheduler ──►
EmptyLatentImage ──►
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❓ FAQ
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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.
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💬 SHARE YOUR RESULTS!
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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