Overview
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.
How It Works
- Upload your base image. If the dimensions are not multiples of 32, the model will scale them automatically before processing.
- Draw or upload a mask that marks the region you want replaced. White areas will be repainted; black areas stay exactly as they are.
- Write a prompt describing what should appear in the masked zone. Mention colors, textures, lighting, or scene details to get precise results.
- Adjust guidance scale, number of inference steps, and output resolution to balance quality against generation speed.
- Optionally load a LoRA weight and set the LoRA scale to apply a specific visual style on top of the inpainted region.
- Hit generate and download your edited image in WebP, JPEG, or PNG.
Frequently Asked Questions
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.
