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Flux 2 Realism LoRA | [text-to-image]
Black Forest Labs' FLUX.2 Realism LoRA delivers photorealistic image generation at $0.021 per compute second through fine-tuned conditioning. Trading speed for authenticity (40 inference steps by default versus competitors' 20-30), this variant prioritizes natural lighting accuracy and documentary-style detail. Ideal for photographers, product marketers, and content creators requiring believable human subjects and environments.
Use Cases: Product Photography | Portrait Generation | Documentary-Style Content
Performance
At $0.021 per compute second, FLUX.2 Realism LoRA positions between rapid-iteration endpoints and premium commercial models, offering 10-15x better cost efficiency than cloud-hosted alternatives while maintaining photographic fidelity.
| Metric | Result | Context |
|---|---|---|
| Resolution | Up to 4 megapixels | Landscape 4:3 default (2048×1536 equivalent) |
| Inference Steps | 40 (default) | 1-50 range; higher steps enhance realism |
| Cost per Compute Second | $0.021 | Approximately 47 seconds of compute per $1.00 on fal |
| Batch Generation | 1-4 images | Single API call for multiple variations |
| LoRA Strength Control | 0-2 scale | Adjustable realism intensity (default 1.0) |
| Related Endpoints | FLUX.2 base, FLUX.2 LoRA | Standard generation vs custom LoRA training |
Photographic Precision Through Fine-Tuned Conditioning
FLUX.2 Realism LoRA applies specialized weight adjustments to Black Forest Labs' base diffusion architecture, emphasizing natural lighting gradients and skin texture authenticity over stylized outputs. Unlike generic text-to-image models that average across illustration and photo datasets, this variant constrains latent space toward documentary photography distributions.
What this means for you:
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Natural lighting simulation: Generates authentic shadow falloff and ambient bounce typical of golden hour or studio setups, critical for product mockups requiring believable environments
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Authentic human features: Preserves skin texture variation, eye reflection patterns, and hair strand detail without the over-smoothed "AI look" common in base models
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Adjustable realism strength: LoRA scale parameter (0-2 range) lets you dial between subtle enhancement and maximum photographic fidelity within a single inference
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Multi-image workflows: Generate up to 4 variations per request with consistent realism treatment, useful for A/B testing product angles or portrait compositions
Technical Specifications
| Spec | Details |
|---|---|
| Architecture | FLUX.2 Realism LoRA |
| Input Formats | Text prompts (natural language) |
| Output Formats | PNG, JPEG, WebP |
| Resolution Support | Landscape 4:3, portrait, square (up to 4MP) |
| License | Commercial use permitted |
API Documentation | Quickstart Guide | Enterprise Pricing
How It Stacks Up
FLUX1.1 [pro] ($0.055 per image) – FLUX.2 Realism LoRA trades premium resolution (8MP+) and multi-reference conditioning for 2.6x cost efficiency ($0.021 vs $0.055 per compute second), prioritizing photographic authenticity over maximum detail control. FLUX1.1 pro remains ideal for hero images and commercial campaigns requiring absolute pixel fidelity.
Flux 2 ($0.021 per compute second) – FLUX.2 Realism LoRA specializes in photorealistic outputs through fine-tuned weights, while the base Flux 2 offers broader stylistic range across illustration and abstract styles. Base Flux 2 suits projects requiring diverse aesthetic treatments; Realism LoRA optimizes for documentary and product photography workflows.
FLUX.1 [dev] with LoRAs ($0.025 per image) – FLUX.2 Realism LoRA benefits from the second-generation architecture's improved prompt adherence and lighting simulation at comparable cost. FLUX.1 [dev] provides custom LoRA training flexibility for specialized visual styles beyond photorealism.
Flux LoRA Training – For teams requiring brand-specific realism (custom product lighting, signature portrait styles), LoRA training creates proprietary weights. FLUX.2 Realism LoRA serves immediate photographic needs without training overhead.