Flux Fill Dev is an open-weight inpainting model that lets you replace, remove, or extend any part of an existing image using a text prompt. If you have a photo with an unwanted object, a background you want to swap out, or an edge you want to push outward, this model handles the pixel-level work. You mark the target area with a mask, describe what you want to appear there, and the model fills it in with results that blend into the surrounding image. The model takes a reference image and a mask alongside your text prompt, giving you precise control over which areas get replaced and which stay intact. You can adjust guidance strength and the number of inference steps to balance speed against output fidelity. It also supports LoRA weights, so you can steer the fill toward a specific visual style without disrupting the coherence of the original image. Whether you are cleaning up product photos, compositing promotional visuals, or iterating on concept art, Flux Fill Dev fits cleanly into an image editing workflow without requiring separate software. Bring your image to Picasso IA, mark what to change, and run it in a few clicks.
Flux Fill Dev is an open-weight inpainting model built for editing and extending existing images without starting over. On Picasso IA, you upload a photo, paint over the region you want to change, write a short description of what should appear there, and the model fills that zone to match the rest of the image. Whether you need to remove an unwanted object, replace a background, or extend a scene beyond its original border, Flux Fill Dev blends edits in without leaving obvious seams. It was distilled from the professional-grade FLUX.1 Fill model, bringing high-fidelity inpainting to anyone who can type a prompt.
Do I need programming skills or technical knowledge to use this? No, just open Flux Fill Dev on Picasso IA, adjust the settings you want, and hit generate.
Is it free to try? Yes, Flux Fill Dev is available on Picasso IA without a paid plan to test it. You can run generations and see results before committing to anything.
How long does it take to get results? Most generations finish in under 30 seconds at standard resolution. Dropping to 0.25 megapixels or reducing inference steps below 28 cuts that time further if you are iterating quickly.
What output formats are supported? You can download results as WebP, JPEG, or PNG. WebP and JPEG support a quality slider from 0 to 100; PNG output is always lossless and ignores that setting.
Can I control how closely the model follows my prompt? Yes. The guidance scale (default 30) determines how strictly the output sticks to your text. Higher values stay closer to the prompt; lower values give the model more creative latitude. Inference steps in the 28-50 range control detail and sharpness.
How many times can I run the model? You can iterate as many times as you need. Use a fixed seed to reproduce a result you like, or leave the seed blank to get a different variation on each run.
Where can I use the outputs? Downloaded images carry no watermarks and are ready for client work, social media, print, or any other project where you own or have rights to the source image.
Everything this model can do for you
Use a black-and-white mask to control exactly which pixels get replaced and which stay untouched.
Describe what should appear in the masked region and the model generates it to match the surrounding image.
Load custom style weights to shift the aesthetic of the fill without disrupting the rest of the image.
Download results in WebP, JPG, or PNG at quality settings from 0 to 100.
Set a seed value to regenerate the exact same fill across multiple runs.
Match the output to the original image dimensions or choose a fixed megapixel count up to 1440x1440.
Run fewer steps for a quick preview or increase them for higher-fidelity output.
