PromptZone - AI Prompts, Guides and Tools for Builders: Mohamed Muhsin

The Klarna AI Revolution: How One Company Transformed Its Business Through Strategic AI Adoption

Mohamed Muhsin — Tue, 26 Nov 2024 13:29:58 +0000

Key Takeaways

Marketing costs reduced by 16% through AI-generated content
Customer service costs decreased by 14%
90% of employees actively use AI tools daily
Strategic AI implementation led to significant productivity gains

In today's rapidly evolving business landscape, two distinct AI economies have emerged: the official one, where merely 5% of American businesses acknowledge AI usage, and the shadow economy, where approximately one-third of employees quietly leverage AI tools.

The Generational AI Divide

Recent research by Google reveals a striking generational contrast in AI adoption:

93% of Gen Z knowledge workers utilize multiple AI tools weekly
79% of millennials engage with two or more AI tools weekly

Klarna's Transparent AI Strategy

While many organizations grapple with AI implementation, Klarna has demonstrated remarkable success through open and strategic AI adoption. Their approach yielded impressive results:

Measurable Outcomes

Cost Reduction
- 16% decrease in marketing expenses through AI-generated content
- 14% reduction in customer service costs
- AI chatbot handling 66% of customer service interactions
Workforce Evolution
- Restructured workforce with AI integration
- Continued investment in engineering talent
- Technology costs increased by 17% ($227M) for AI infrastructure

Strategic Implementation Framework

1. Focused Application Areas

Klarna strategically deployed AI in three key domains:

Customer service automation
Marketing content generation and translations
Internal productivity enhancement

2. Company-Wide Adoption

The organization achieved an unprecedented 90% daily AI usage rate among employees, setting a new industry standard for AI integration.

Looking Ahead: Lessons for Business Leaders

The success of Klarna's AI implementation offers valuable insights for organizations considering similar transformations:

Strategic Focus: Identify specific areas where AI can provide immediate value
Open Adoption: Create an environment that encourages transparent AI usage
Committed Implementation: Ensure comprehensive training and support for AI tools
Measured Investment: Balance technology costs with productivity gains

Conclusion

The future of business efficiency lies not in avoiding AI or allowing its shadow usage, but in creating environments where AI tools can be openly and strategically implemented. Klarna's experience demonstrates that when properly executed, AI integration can lead to substantial operational improvements and cost savings.

AI #BusinessTransformation #DigitalInnovation #ProductivityGains #TechStrategy

Elon Musk Ignites Deepfake Debate with Viral Kamala Harris AI Video

Mohamed Muhsin — Fri, 09 Aug 2024 08:11:12 +0000

Tech tycoon Elon Musk has set the internet ablaze with a controversial AI-generated video of Vice President Kamala Harris, raising alarming questions about the future of political campaigns and digital misinformation.

The Video That Fooled Millions

On Friday night, Musk shared a video on his platform X (formerly Twitter) that appeared to show Vice President Harris making startling statements. The catch? It wasn't real.

The video, a sophisticated AI creation, blended authentic footage from Harris's recent campaign ad with an artificially generated voiceover that eerily mimicked her speech patterns. Musk's cryptic caption, "This is amazing 😊", offered no hint that the content was fabricated.

Viral Spread and Public Reaction

Within hours, the post exploded:

Over 124 million views
Thousands of shares and comments
Heated debates across social media platforms

Experts Sound the Alarm

We reached out to leading AI and media experts for their take on this digital bombshell:

Dr. Hany Farid, UC Berkeley:
"This video demonstrates the frightening potential of generative AI and deepfakes. The technology has outpaced our ability to regulate it."
Rob Weissman, Public Citizen:
"Many viewers will be fooled by this content. It's exactly the kind of digital misinformation we've been warning about."

The Deepfake Dilemma: Satire or Sabotage?

The creator of the original video, YouTuber Mr. Reagan, claims it was intended as satire. But in the fast-paced world of social media, context often gets lost in the shuffle.

A Wake-Up Call for Regulators?

With the U.S. presidential election looming, this incident highlights the urgent need for comprehensive AI regulations:

Only 1/3 of states have laws addressing AI in politics
Federal legislation is still in its infancy
Social media platforms are scrambling to update their policies

What's Next?

As we hurtle towards Election Day, the Musk-Harris deepfake controversy serves as a stark reminder of the challenges ahead. Can we trust what we see online? How will campaigns adapt? And most importantly, how can voters protect themselves from digital deception?

Share your thoughts in the comments below!

Midjourney and FLUX: The New Kids on the AI Image Block

Mohamed Muhsin — Mon, 05 Aug 2024 13:55:52 +0000

The AI art world just got a major shake-up! This week saw not one, but two massive developments that have got digital artists and tech enthusiasts buzzing. Let's dive into the juicy details.

Midjourney Levels Up: Version 6.1 Drops

If you thought Midjourney couldn't get any better, think again. The reigning champ of AI image generation just released version 6.1, and it's like they've given their already impressive model a pair of super-powered glasses.

What's new in Midjourney v6.1?

Reality Check: Hands, plants, and animals look freakishly real now. No more nightmare fuel with extra fingers!
Speed Demon: Images pop out about 25% faster. Impatient artists, rejoice!
Word Perfect: Text in images is way more accurate. No more "WELCOM TO PARADIS" signs in your cyberpunk cityscapes.

But wait, there's more! They've cranked up the detail knob on everything from skin textures to far-away objects. It's like they've given the AI a microscope and said, "Go nuts!"

The New Open-Source Challenge r: FLUX

Just when Midjourney thought it was safe to rest on its laurels, in swoops Black Forest Labs with their shiny new FLUX.1 model. And boy, does it pack a punch!

What's the big deal about FLUX?

Open-Source Goodness: Unlike Midjourney's walled garden, FLUX is free for anyone to tinker with (for non-commercial use, that is).
Powerhouse Team: The brains behind FLUX include some serious AI heavyweights who've worked on game-changing models before.
Competitive Quality: Early tests show FLUX giving Midjourney a run for its money in terms of image quality.

Why This Matters

Here's the thing – Midjourney is amazing, but it's like that fancy restaurant you need reservations (and a fat wallet) for. You've got to use Discord, pay up, and jump through some hoops to get the good stuff.

FLUX, on the other hand, is like that food truck that just rolled into town. It's accessible, exciting, and if you're tech-savvy enough, you can even peek under the hood to see how it works.

For the average Joe, this means more options and potentially lower costs for creating mind-blowing AI art. For the tech geeks, it's a chance to dive deep into the code and maybe even contribute to the next big breakthrough.

Got any cool creations using Midjourney v6.1 or FLUX? Drop them in the comments below – let's see what this new tech can really do!

Fooocus: The AI Revolution in Image Editing

Mohamed Muhsin — Tue, 30 Jul 2024 18:55:31 +0000

Fooocus, an innovative open-source application, is at the forefront of this revolution, offering powerful image generation and editing capabilities without the need for traditional photo editing software.

What is Fooocus?

Fooocus is a Python-based application that harnesses the power of generative diffusion models to create and modify images. It combines the user-friendly interface of Midjourney with the customizable models of Stable Diffusion, providing a free and versatile solution for image manipulation.

Key Features:

Image Generation: Create stunning visuals from simple text prompts
Advanced Editing: Perform complex photo retouching tasks with ease
Upscaling: Increase image resolution without quality loss
Inpainting and Outpainting: Add or modify specific parts of an image
Face Swapping: Replace faces while maintaining original poses
Style Transfer: Apply various artistic styles to your images

How Fooocus Works

Fooocus utilizes generative diffusion models, which don't directly manipulate individual pixels. Instead, they employ a series of iterative steps to gradually update and integrate the image. In each step, the model diffuses information through the image, progressively developing its representation.

System Requirements

Fooocus performs optimally on systems with NVIDIA RTX 4000 series GPUs, but can run on various hardware configurations:

Operating Systems: Windows, Linux, or macOS
GPU Memory: Minimum 4GB (8GB recommended)
RAM: Minimum 8GB (32GB for CPU-only operation)
Compatible GPUs: NVIDIA, AMD, and Apple M1/M2

For detailed performance comparisons across different hardware setups, refer to the table below:

System	GPU	Min GPU Memory	Min RAM	Notes
Windows/Linux	NVIDIA RTX 4XXX	4GB	8GB	Recommended
Windows/Linux	NVIDIA RTX 3XXX	4GB	8GB	Faster than RTX 2XXX
Mac	M1/M2 MPS	Shared	Shared	~9x slower than RTX 3XXX
Windows/Linux/Mac	CPU only	-	32GB	~17x slower than RTX 3XXX

Getting Started with Fooocus

Installation

Windows:

Download the compressed archive
Extract contents to a folder of your choice (e.g., c:\fooocus)
Double-click the run.bat file

Linux and macOS:

Follow the simple command-line instructions provided in the official documentation.

Cloud Option: Google Colab

For those who want to try Fooocus without local installation, Google Colab offers a cloud-based solution:

Visit the Fooocus Colab URL
Click "Connect T4" in the top right corner
Run the first code cell to start the application
Click the generated gradio.live URL to access the Fooocus interface

Advanced Features and Usage

Customizing Image Generation

Dimensions and Styles: Adjust image size and apply various artistic styles
Negative Prompts: Specify elements to exclude from the generated image
Combining Techniques: Mix image modification with custom text prompts

Specialized Techniques

Pose Replication: Imitate poses from existing images with new subjects
Face Swapping: Replace faces while preserving original poses and expressions
Inpainting and Outpainting: Modify specific image areas or expand beyond original boundaries

Conclusion

Fooocus represents a significant leap forward in AI-powered image editing. By offering professional-grade capabilities in a user-friendly, open-source package, it's poised to transform the creative landscape for both amateur enthusiasts and professionals alike.

Cinematic Masterpieces with Chinook: The Ultimate SDXL Model for Film-Like Images

Mohamed Muhsin — Thu, 18 Jul 2024 10:27:18 +0000

prompt:

ultra closeup filmgrab portrait of fat monster crazy clown. The face should be sadistic, creepy, eerie, , unshaved, (partial peeling make-up:1.3), dangerous and unstable, intricate textures, dirty clothes, laced embroideries, intricate layered messy makeup, shadow eyes, not a friend, intricate dark circus toys factory background with a lot of creepy dolls and toys, unsettling, film grain, analog, cinematic, rim lighting, realistic, lowkey lighting, (dutch angle style:1.2), high budget, movie still

illustration, sketch, 3d render, glowing eyes, surexposed, saturated
Negative prompt

Introduction to Chinook

In the ever-evolving world of Stable Diffusion models, Chinook stands out as a true cinephile's dream. Created by the talented Ausurety, known for the popular Cheyenne model, Chinook is designed to produce stunningly realistic, cinematic images that look like they've been plucked straight from the silver screen.

Prompt:

cinematic, film grain, RAW, movie still, realistic photography, manifestation black and white fighting, chiaroscuro lighting
Negative prompt: illustration, cartoon, anime, 3d render, painting, crayon, sketch, graphite, impressionist, unreal engine
Steps: 37, Sampler: DPM++ 3M SDE Karras, CFG scale: 4, Seed: 1953958756, Size: 1536x640, Model hash: 59681d5417, Model: CHINOOK_v10, Clip skip: 2, RNG: NV

starting image

ending image

Key Features:

Photorealistic and fantastical imagery
Optimized for wide, cinematic formats
Unique ability to capture mood and narrative in still images

Installing Chinook: Bring Hollywood to Your Desktop

Getting started with Chinook is straightforward:

Download the .safetensor file from Civitai
Place the file in your /checkpoints folder of your Stable Diffusion interface
For easy installation, use Stability Matrix or Diffus en

VAE or No VAE?

Chinook offers two versions:

VAE Backed: Easier for beginners
Without VAE: For advanced users who want to experiment with different VAEs

Using Chinook

Recommended Parameters:

Guidance Scale (CFG): 3-5
Sampler: DPM++ 2M Karras
Steps: 30-50
Optimal Resolution: 1536x640 (panoramic)

Prompt Structure:

Chinook works well with both keyword-based and descriptive prompts. Here's a starter prompt:

cinematic, film grain, RAW, movie still, realistic photography, [SUJET], [ECLAIRAGE], dutch angle style, chromatic aberration
positive

illustration, cartoon, anime, 3d render, painting, crayon, sketch, graphite, impressionist, unreal engine
negative

Enhance Your AI Image Generation on Fooocus

Mohamed Muhsin — Thu, 11 Jul 2024 15:35:12 +0000

Fooocus, a modern interface for Stable Diffusion XL, offers advanced features like image prompting. This powerful tool allows you to use images alongside text prompts to guide AI image generation, enabling style replication, composition control, and even face swapping.

Understanding Image Prompts

Unlike image-to-image generation, image prompts complement text prompts, influencing the entire image creation process. Fooocus uses advanced techniques, including:

IP-Adapter integration
Negative embedding
Attention hacking
Adaptive weighting algorithms

These enhancements make Fooocus' image prompting more effective than standard implementations.

Getting Started with Image Prompts

Activate "Image Input" below the text prompt field
Click on the "Image Prompt" tab
Upload up to 4 reference images

Basic Image Prompting

Let's compare a standard text-to-image generation with an image-prompted one:

Text-only prompt: "full body shot of a Beautiful girl, smiling, Urban Chic, Edgy, New York City, spring, blooming flowers, Central Park, iconic skyline, Empire State and Chrysler Buildings"

Same text prompt + image prompt (e.g., 1woman, rooftop portrait)

Advanced Image Prompt Settings

Adjusting Image Influence

Two key parameters control image prompt strength:

Weight: Determines the image's influence (default: 0.6)
Stop At: Sets when the image stops influencing generation (default: 0.5)

Multi-Image Prompting

Combine multiple reference images for creative results:

ControlNet in Fooocus

Fooocus implements ControlNet-like features through two modes:

PyraCanny: Edge detection optimized for high-resolution images
CPDS: Structure recognition based on Contrast Preserving Decolorization

Face Swapping with FaceSwap

The FaceSwap mode allows you to incorporate specific facial features:

Upload an image with a clear face
Adjust Weight and Stop At for desired effect
Combine with text prompts for varied results

Combining Techniques

For ultimate control, mix different image prompt modes:

Fooocus Inpainting Tutorial 2026: Advanced Techniques + Settings

Mohamed Muhsin — Tue, 09 Jul 2024 17:26:33 +0000

Inpainting technology, powered by Stable Diffusion, opens up new horizons for image repair and modification. This innovative method uses the context of intact image segments to reconstruct altered or incomplete parts, simplifying defect removal and image customization.

Fooocus makes inpainting unusually approachable: upload an image, paint a mask, pick a method, and generate. This tutorial covers the basic workflow, then the advanced techniques (mask control, denoise strength, engine versions, multi-pass editing, outpainting) that separate a visible patch from a seamless edit. If you are new to the tool itself, start with how to use Fooocus and come back here.

Getting Started with Fooocus Inpainting

Activating Inpainting in Fooocus

Check the "Input Image" box below the Prompt field
Open the "Inpaint or Outpaint" tab

Note: When active, the Generate button performs inpainting based on the uploaded image and specified options, while still considering the main prompt.

If you don't have it locally you can still use it in Google Colab with the official notebook: fooocus_colab.ipynb.

Inpainting Techniques in Fooocus

1. Completing an Image

Perfect for restoring damaged photos:

Upload the image
Define the inpainting mask using the drawing tool
Write a prompt describing the desired outcome
Click Generate

2. Enhancing Details

Ideal for improving specific areas like faces or hands:

Upload the image
Draw a mask over the area to enhance
Select "Improve Detail" as the Method
Provide a complementary prompt for the area
Generate and repeat for other areas if needed

3. Adding Elements

Transform your image by adding new objects or details:

Upload the image
Draw a mask where you want to add the new element
Choose "Modify Content" as the Method
Write a prompt describing the new element
Generate and repeat to add multiple elements

4. Removing Objects

Remove Object fills the masked area from its surroundings and ignores the prompt:

Upload the image
Paint over the object, extending the mask slightly past its shadow and edges
Choose "Remove Object" as the Method
Generate; if a ghost of the object remains, widen the mask and run again

Choosing the Right Method

The Method dropdown is the single setting that most often decides whether a result works,
and picking the wrong one is the most common reason inpainting "does nothing".

Method	Use it when	What it does
Improve Detail	Faces, hands, eyes, text, small textures	Refines what is already inside the mask, keeping composition
Modify Content	Adding or replacing an object	Generates new content from your prompt inside the mask
Remove Object	Deleting something	Fills the mask from surrounding context, ignoring the prompt

If you mask a region, write a prompt describing something new, and get back a subtly cleaner
version of the original, you are on Improve Detail and want Modify Content.

Advanced Inpainting Options

For experienced users, Fooocus offers advanced configuration options:

Check the "Advanced" box next to "Input Image"
Open the "Advanced" tab
Enable "Developer Debug Mode"
Access the "Inpainting" tab for detailed options

Key Advanced Parameters:

Debug Inpaint Preprocessing: Visualize the pre-processing steps
Disable initial latent in inpaint: Toggle consideration of content outside the mask
Inpaint Engine: Select the model version
Inpaint Denoising Strength: Control the influence of the original image
Inpaint Respective Field: Adjust the size of the generated inpainting area
Mask Erode or Dilate: Modify mask edges
Enable Mask Upload: Use a custom mask image
Invert Mask: Reverse the mask effect

Denoising Strength in Practice

Inpaint Denoising Strength controls how much of the original pixels survive. It is the
second setting worth learning properly:

0.2 to 0.4: light touch-ups, texture and blemish cleanup, keeps the original almost intact
0.5 to 0.7: the useful middle ground for detail work on faces and hands
0.8 to 1.0: effectively regenerates the masked region; required when adding an object, but it will ignore what was there before

Start in the middle and move in one direction. Large jumps make it hard to tell which change
caused which result.

Advanced Inpainting Techniques

The techniques below are what turn a visible patch into an edit nobody can spot. All of them live behind Developer Debug Mode in the Inpainting and Control tabs, and each one addresses a specific failure you will recognize from your own results.

Mask Shape, Erode and Dilate

A good mask is slightly larger than the defect and falls on plain surfaces rather than edges. The pillar rule of thumb is a mask roughly 30 percent larger than the visible problem: too small and the model has no room to blend, too large and it regenerates content you wanted to keep. Mask Erode or Dilate adjusts the painted mask numerically after the fact. Positive values grow it (dilate), which softens transitions and hides seams; negative values shrink it (erode), which protects neighboring detail when the mask was painted loosely. Grow the mask when you see a hard outline around the edit, shrink it when the edit bleeds into areas that should have stayed untouched.

Inpaint Respective Field

Inpaint Respective Field sets how much of the surrounding image the model looks at while filling the mask. A small field concentrates resolution on the masked area, which is what you want for eyes, teeth, jewelry, and other fine detail. A large field gives the model more context about lighting, perspective, and scale, which is what you want for faces, limbs, and any object that has to match the rest of the scene. If a repainted face looks technically sharp but slightly wrong in size or angle, raise the field; if a small detail comes out mushy, lower it.

Denoise Ranges by Task

Task	Method	Denoise range	Notes
Skin, texture, blemish cleanup	Improve Detail	0.2 to 0.4	Keep prompt short and descriptive of the area
Faces, hands, eyes	Improve Detail	0.5 to 0.7	Mask the whole head or hand, not just the flaw
Replace an object with another	Modify Content	0.8 to 1.0	Describe the new object and its lighting
Add something that was not there	Modify Content	0.9 to 1.0	Two passes usually beat one, see below
Delete an object	Remove Object	not used	Method ignores prompt and strength
Change a background	Modify Content	0.8 to 1.0	Invert Mask to select everything except the subject

Disable Initial Latent

Disable initial latent in inpaint stops Fooocus from seeding the masked area with the original pixels. Leave it off for touch-ups and detail work, where the original content is a useful starting point. Turn it on when the original content is fighting you: for example, when a removed object keeps reappearing faintly, or when you want a completely new element and the model keeps echoing the shape that was there before.

Inpaint Engine Versions

The Inpaint Engine dropdown selects which inpainting model version Fooocus loads. Newer versions generally blend better at mask edges and follow prompts more closely; older versions are kept for reproducing earlier results. If an old workflow suddenly produces worse seams after an update, the engine version is the first setting to check. There is no universally best choice, so pick one, fix your seed, and compare on the same image before committing.

Mixing Image Prompt with Inpaint

Fooocus can guide an inpaint with a reference image at the same time, which is how you do style transfer or face swaps that preserve the rest of the picture:

Access the "Advanced" panel
Enable "Developer Debug Mode"
Open the "Control" tab
Check "Mixing Image Prompt and Inpaint"

Upload the reference in an Image Prompt slot, mask the region to change, and keep the Image Prompt weight moderate so the reference influences the edit without overriding the surrounding lighting. This combination is the route for face swaps and background style changes while preserving the subject. For how Image Prompt weights and stop points behave on their own, see the Fooocus image prompts guide.

Multi-Pass Workflow

Complex edits work better as several small inpaints than one large one. A reliable sequence:

Structure pass. Modify Content at high denoise with a generous mask to place the new object or fill the removed area.
Blend pass. Improve Detail at 0.3 to 0.5 with a mask that straddles the boundary of the first edit, so the seam is regenerated with context from both sides.
Detail pass. Improve Detail at 0.5 to 0.7 on faces, hands, or text inside the new region.
Optional upscale. Once the composition is right, run Upscale or Vary (Subtle) on the whole image to unify grain and sharpness.

Fix the seed between passes so that re-running a step changes only what you intended.

Outpainting Directions

Outpainting extends the canvas instead of editing inside it. In the "Inpaint or Outpaint" tab, tick one or more directions (Left, Right, Top, Bottom) and Fooocus paints new content beyond the current edge. Extend one direction at a time for the most coherent results, describe the scene continuation in the prompt rather than the subject, and use Improve Detail afterwards on the join if you can see it. Large extensions work best in two steps rather than one big jump.

LoRAs and Checkpoints Still Apply

Inpainting uses whatever base checkpoint and LoRAs you have selected, so a realistic checkpoint produces realistic fills and an anime checkpoint produces anime fills. If the inpainted region looks stylistically different from the rest of the image, check that the checkpoint matches the one the image was made with. Our guides to LoRAs in Fooocus and the best SDXL models cover picking and stacking them.

Fixing Common Inpainting Problems

Symptom	Cause	Fix
Visible seam around the edit	Mask boundary lands on detail	Dilate the mask so the edge falls on a flat area
New element has wrong lighting	Model only sees the masked region	State the lighting in the prompt ("lit from the left, warm evening light")
Faces come back distorted	Mask too small to resolve a face	Widen the mask to the whole head, raise Respective Field
Object will not disappear	Not enough clean context to sample	Widen the mask, remove in two passes, enable Disable Initial Latent
Results change wildly each run	High denoise plus random seed	Lower strength or fix the seed while tuning
Nothing changes	Wrong method or Input Image not ticked	Switch Improve Detail to Modify Content, confirm the checkbox and tab

Visible seam around the edited region: the mask boundary is landing on detail. Grow the
mask slightly with Mask Erode or Dilate so the transition falls on flat area rather than an
edge, and avoid tracing tightly around the subject.

The new element does not match the lighting: inpainting only sees the masked region and
its immediate surroundings. Describe the lighting explicitly in the prompt ("lit from the
left, warm evening light") rather than expecting it to be inferred.

Faces come back distorted: the masked area is too small for the model to resolve a
coherent face. Widen the mask to include the whole head, and increase Inpaint Respective
Field so more context is considered.

The object will not disappear: Remove Object needs clean surroundings to sample from. If
the object touches a busy edge, remove it in two passes, working from the simpler side.

Results change wildly between runs: this is expected at high denoise. Lower the strength
or fix the seed so you are comparing like with like while you tune.

Fooocus Inpainting vs Other Tools

Fooocus is the fastest route to good inpainting because the three methods, the engine, and the mask tools are already wired together. ComfyUI offers more control (custom inpaint models, differential diffusion, per-node masks) at the cost of building the graph yourself, and Automatic1111 sits in between. Our Fooocus vs ComfyUI vs Automatic1111 comparison covers when each is the better fit, and the ComfyUI 2026 guide is where to go if you need that extra control.

Conclusion

Fooocus Inpainting opens up a world of possibilities for image manipulation and creation. Learn the three methods, tune denoise strength deliberately, control the mask with erode and dilate, and work in passes, and most edits become invisible. For everything else Fooocus can do, see the Fooocus 2026 complete guide.

FAQ

Why does the Generate button do nothing after I upload an image?

The "Input Image" checkbox below the prompt has to be ticked and the "Inpaint or Outpaint"
tab selected. Without both, Fooocus runs an ordinary text-to-image generation.

Do I still need a prompt when inpainting?

For Improve Detail and Modify Content, yes: describe what should be in the masked area, not
the whole picture. For Remove Object the prompt is ignored.

Can I use my own mask instead of drawing one?

Yes. Enable Developer Debug Mode, open the Inpainting tab and turn on Enable Mask Upload.
Invert Mask flips which side is treated as the region to change.

Which inpaint engine version should I use?

Newer engine versions generally blend better at mask edges. If an older workflow suddenly
produces worse seams after an update, the engine version is the first setting to check.

Can I inpaint and use an image prompt at the same time?

Yes. Enable Developer Debug Mode, open the Control tab and tick "Mixing Image Prompt and
Inpaint". This is the route for style transfer or face swaps that preserve the subject.

What denoising strength should I use for inpainting?

Use 0.2 to 0.4 for light touch-ups, 0.5 to 0.7 for faces and hands, and 0.8 to 1.0 when adding or replacing an object. Start in the middle and adjust in one direction with a fixed seed.

What does "Disable initial latent in inpaint" do?

It stops Fooocus from using the original pixels as the starting point for the masked area. Turn it on when a removed object keeps reappearing or when you want entirely new content instead of a variation of what was there.

Last reviewed and updated: September 2026.