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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.
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