FormulaFlux is a high-quality LoRA trained on FLUX.1 Dev, designed to enhance prompt adherence, stylistic consistency, and overall image coherence while preserving the strong baseline capabilities of the FLUX architecture.

This model is tuned for generating clean, cinematic, and highly structured outputs, making it especially effective for users who want predictable composition, refined detail, and improved control over prompt interpretation.

FormulaFlux excels in:

• Cinematic lighting and composition

• Clean, high-detail outputs

• Improved prompt following over base FLUX.1 Dev

• Balanced realism and stylization

• Stable generation across diverse subjects

It is compatible with a wide range of prompts and works best when used with moderately detailed descriptions.

⚙️ Base Model Info

Base Model: FLUX.1 Dev
Model Type: LoRA
Architecture: Flow-based diffusion transformer (FLUX)
Recommended Strength: 0.6 – 1.0
Trigger Words: formula
Resolution: 1024×1024 (native FLUX training resolution)
File Format: .safetensors

🧪 Suggested Settings

• Sampler: Euler / DPM++ equivalent (FLUX-compatible sampler)

• Steps: 20–35 (sweet spot: ~28)

• CFG Scale: 3.5 – 6 (FLUX prefers lower CFG than SD models)

• Denoise Strength (img2img): 0.5 – 0.75

• Clip Skip: Not used (FLUX architecture)

💡 Recommended Prompting Style

For best results, use structured prompts like:

cinematic portrait of a subject, dramatic lighting, ultra-detailed, shallow depth of field, high realism, centered composition

Avoid overly long or conflicting prompts—FLUX models respond best to clean, descriptive language.

📊 Example Tags

You can paste these into tags:

flux1-dev, lora, cinematic, photorealistic, stylized realism, high detail, prompt adherence, composition control

Seaart: https://www.seaart.ai/User/176c42e4e4cc8130947eb6715a425c12