# FLUX.1 [Dev] Canonical page: https://fuser.studio/models/flux-1-dev FLUX.1 [dev] in Fuser generates images from text and reference images with Black Forest Labs' open-weight model. Add LoRAs and chain edits on one canvas. ## Specs | Spec | Value | | --- | --- | | Inputs | Prompt (text), Image Prompt (image) | | Output | image | | Cost | 35–48 credits per run | Render nuanced tactile textures, crisp embedded typography, and intricate multi-subject compositions with lifelike lighting Creator: Black Forest Labs [Render high-fidelity imagery](https://app.fuser.studio) ## How FLUX.1 [Dev] works Harness a 12-billion-parameter rectified flow transformer with natural descriptive language, tailored step counts, and optional style guidance. ### Describe the scene hierarchy Write descriptive natural prose detailing subjects, materials, volumetric lighting, and any required typography. ### Tune guidance and inference steps Set guidance scale between 1.5 and 4.0 for photorealism, and adjust inference steps from 28 to 50 for complex textures. ### Apply custom styles or reference imagery Attach a style adapter or input image to direct aesthetics and compositional geometry across generations. ## What FLUX.1 [Dev] is good at From pixel-perfect typography to lifelike skin textures and transparent optics, explore the core strengths of this generative model. ### Native typography and signage Spell out sharp, legible words and graphic signage directly within scenes without prompt bleeding or warped letterforms. ### Organic textures and anatomy Render tactile micro-textures, authentic skin pores, and anatomically accurate hands and joints grounded in natural physical contact. ### Bespoke style adapter integration Activate custom style LoRA variants at 48.3 credits to impose consistent brand aesthetics and handcrafted mediums onto complex prompt hierarchies. ### Refractive glass and liquid depth Simulate realistic light physics through ice, curved glassware, and liquid surfaces using 28 to 50 inference steps for crisp optical clarity. ## Made with FLUX.1 [Dev] A curated gallery demonstrating photorealistic materials, dynamic studio fashion, cinematic lighting, and sharp embedded lettering. ### High-gloss editorial fashion photography ### Architectural interior composition ### Atmospheric cinematic narrative frame ### Documentary archival reportage ### High-impact athletic product still ## What people build with FLUX.1 [Dev] Creative directors, brand designers, and visual artists rely on high prompt adherence and style adaptability for production-ready assets. ### Fashion editorial campaigns Produce publication-ready lookbooks and fashion spreads featuring authentic skin textures, complex garment folds, and editorial studio lighting. ### Branded packaging and signage Generate scene concepts with perfectly legible corporate lettering, storefront neon signs, and detailed product labels that integrate seamlessly into realistic environments. ### Cinematic storytelling frames Establish complex cinematic scenes with multiple characters, dramatic volumetric lighting, and nuanced physical interactions without prompt bleeding. ### Industrial design visualization Prototype color, material, and finish (CMF) concepts for consumer electronics and furniture with precise material physics, liquid transparency, and surface reflections. ### Consistent thematic illustration Leverage custom style adapter endpoints to generate coherent illustration collections, from risograph prints to claymation characters for digital media. ## Frequently asked questions ### What is the difference between the standard model and the LoRA style variants? The standard variant generates imagery using the base model's native photorealistic aesthetic, whereas the LoRA variant integrates custom style adapters to enforce specific artistic aesthetics like watercolor, vector art, or branded character design. LoRA variants run at a 48.3-credit rate compared to 34.5 credits for standard generation due to initializing custom adapter weights. ### When should I choose image-to-image over standard text-to-image? Use image-to-image when you need to preserve the compositional layout, silhouette, or geometry of an existing source image while altering styling, subjects, or textures. Standard text-to-image generation builds compositions entirely from descriptive prompts, offering unconstrained creative freedom from scratch. ### What guidance scale setting works best? A guidance scale between 3.5 and 4.0 delivers balanced prompt adherence, while lowering the scale to 1.5–3.0 enhances creative interpretation and photorealism. Increasing guidance to 5.0–10.0 enforces strict alignment for typography and vector graphics, though exceeding 7.0 risks over-saturation and visual artifacts. ### How many inference steps should I configure? The default setting of 28 inference steps provides the ideal balance between generation speed, skin texture clarity, and detail fidelity. For complex scenes featuring multi-layered reflections, intricate glass refractions, or tiny legible text, increasing the step count up to 50 yields maximum clarity. ### What prompt structure produces the best results? Descriptive natural prose that outlines subject hierarchy, materials, camera specs, and volumetric lighting yields the highest quality. Avoid comma-separated keyword tag soup, negative-prompt phrases, or weighted parentheses, as the flow transformer interprets all syntax literally. ## Try FLUX.1 [Dev] on Fuser Render nuanced tactile textures, crisp embedded typography, and intricate multi-subject compositions with lifelike lighting [Render high-fidelity imagery](https://app.fuser.studio) ## Related models - [FLUX.3 Image](https://fuser.studio/models/flux-3-image.md) - [FLUX.2](https://fuser.studio/models/flux-2.md) - [FLUX.1 Kontext](https://fuser.studio/models/flux-1-kontext.md) - [FLUX1.1 [Pro] Ultra](https://fuser.studio/models/flux1-1-pro-ultra.md) - [Gemini Image](https://fuser.studio/models/gemini-image.md) - [GPT Image](https://fuser.studio/models/gpt-image.md) Node reference: [FLUX.1 [Dev] docs](https://docs.fuser.studio/docs/nodes/image/flux-1-dev.md) ## More articles - [AI Image Generation Glossary: 31 Terms Explained](https://fuser.studio/articles/ai-image-generation-glossary.md)