FLUX.1 [pro] Fill Fine-tuned
FLUX.1 [pro] Fill Fine-tuned: master image inpainting and editing.
A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.
FLUX.1 [pro] Fill Fine-tuned is a specialized version of the FLUX.1 [pro] model, fine-tuned for precision inpainting and outpainting tasks. It excels at understanding context and generating content that blends perfectly with the existing image, whether you're removing an unwanted element, adding a new object, or extending the canvas.
Use this model when you need to edit images with high fidelity to the original style and lighting. It's ideal for retouching photos, creating composites, or fixing blemishes without leaving obvious traces of editing. The model handles complex scenes with multiple objects and varied backgrounds.
What makes FLUX.1 [pro] Fill Fine-tuned distinctive is its ability to maintain consistency across the entire image, even with large edits. It leverages the base FLUX.1 [pro] architecture's strong generative capabilities while being specifically tuned for fill tasks, resulting in fewer artifacts and more coherent outputs.
- Remove unwanted objects from photos
- Add new elements to existing images
- Extend image backgrounds (outpainting)
- Fix blemishes or imperfections
- Replace backgrounds seamlessly
Understands the surrounding image to generate fills that match lighting, texture, and perspective.
Produces edits that are nearly indistinguishable from the original image.
Handles both inpainting (inside the image) and outpainting (extending the canvas) with ease.
- Provide a precise mask around the area you want to fill for best results.
- Use high-resolution source images to give the model more detail to work with.
- For outpainting, extend the canvas gradually in small steps for coherent results.
- Experiment with different prompts to guide the fill content when adding new objects.
- May struggle with very large or complex fill areas, leading to slight inconsistencies.
- Requires a clear mask or selection for best results; ambiguous areas can produce unexpected content.
- Not designed for text generation within fills; text may appear garbled or out of place.
Remove the telephone pole from the countryside road, fill with the surrounding field and sky.
Add a glowing lantern hanging from the tree branch in the night forest scene.
Extend the city skyline photo to the left, adding more skyscrapers and a sunset sky.
A number that sets the random starting point for generation; same seed gives reproducible results.
Number of refinement steps; more steps can improve detail but take longer.
Softens the edges of the mask for smoother blending with the original image.
The width-to-height ratio of the output image, like 16:9 for widescreen.
Controls how closely the model follows your prompt; higher values mean stricter adherence.
Os preços exibidos são o que você paga na Muitto. Sem surpresas.
What is the difference between inpainting and outpainting?
Inpainting fills a selected area inside the image, while outpainting extends the image beyond its original borders.
Can I use this model to remove people from photos?
Yes, you can remove people or any object by masking the area and letting the model fill it with background.
Does the model work with any image size?
It works best with images that match the model's training resolution, but it can handle various sizes with appropriate settings.