NEW Outpaint for ControlNET - Inpaint_only + Lama is EPIC!!!! A1111 + Vlad Diffusion

Your AI image is a window. Outpainting turns it into a wall.

That portrait you spent twenty minutes perfecting... the one with the lighting just right and the composition singing? It doesn't have to end at the edges. With ControlNet's updated Lama method, you can push those borders out and let the AI dream what lives beyond the frame.

Why This Matters

Creators hit this wall constantly. You generate something beautiful in Stable Diffusion, but the composition is too tight. You need more sky. More ground. More breathing room for the story your image wants to tell.

Photoshop has outpainting tools. They're fine. But this method? Better. And it lives right inside the Automatic1111 WebUI you're already using.

Olivio Sarikas walks through the whole workflow in about four minutes. No fluff. Just the recipe. Here's the distilled version with the settings that actually matter.

Step One: Update ControlNet

This is the prerequisite most people skip... then wonder why nothing works.

Head to the Extensions tab in Automatic1111 WebUI|A1111. Hit Check for Updates. You'll see ControlNet flagged with an available update. Click Apply and Restart. Wait.

Once it reloads, scroll down to ControlNet and you'll find a new Inpaint button. Click it. The first time you use it, the Inpainting Model|inpainting model downloads automatically. No hunting for files. No manual installs. Just patience while it grabs what it needs.

Step Two: Generate Your Base Image

Stay in txt2img. Write your prompt. Generate until you find something worth extending.

This is the seed. The foundation. Get this right before you think about outpainting.

Here's where Olivio drops an important warning: you can do outpainting directly in txt2img using ControlNet. Don't. The options are limited. The results are weaker. The extra step of moving to img2img is worth every second.

Save your image. Click Send to img2img.

Step Three: Configure ControlNet (The Core)

This is where the magic lives. Pay attention here... these specific settings are the difference between "meh" and "whoa."

1. Load your image into the ControlNet section 2. Enable ControlNet 3. Click the Inpaint button to load the preprocessor and model 4. Change the preprocessor from `inpaint_only` to `inpaint_only+lama`

That last step is everything. The Lama Inpainting|Lama preprocessor produces significantly better outpainting results than the standard option. It's the difference between a seam you can spot and an extension that feels like it was always there.

5. Set Control Mode to "ControlNet is more important" 6. Set Resize Mode to "Resize and Fill"

That Resize and Fill setting is essential. Without it, your image gets cropped to fit the new resolution instead of extending into fresh space. You're not trimming. You're growing.

Step Four: Resolution and Denoising

Set your target resolution. Keep the original dimension the same (Olivio uses 768 height) and expand the other axis (1280 width). This tells the AI exactly where to dream new content.

Now... Denoising Strength. This is the dial that controls how much creative freedom the AI gets.

- 0.75 keeps things grounded. The new content stays consistent with your original. - 1.0 lets the AI go full imagination mode. Riskier. Sometimes brilliant. - The sweet spot lives between 0.75 and 0.85 for most outpainting work.

Set the seed to -1 (random). You want variety. You want the AI exploring different possibilities for what lives beyond your original frame.

Pro move: Set your batch size to 4 or higher. Generate multiple outpaintings simultaneously. Pick the best one. This is how you work efficiently... let the machine generate options while you make the creative decisions. 🎯

The Recommended Settings at a Glance

| Setting | Value | |---|---| | Tab | img2img (not txt2img) | | Preprocessor | `inpaint_only+lama` | | Model | `control_v11p_sd15_inpaint` | | Control Mode | ControlNet is more important | | Resize Mode | Resize and Fill | | Sampling Method | DPM++ 2S a Karras | | Denoising Strength | 0.75 - 1.0 | | Seed | -1 (random) | | Batch Size | 4+ recommended |

What You Get

The results speak for themselves. Olivio demonstrates a portrait of a woman in a red kimono transforming into a full widescreen scene... cherry blossoms extending naturally, backgrounds filling in with coherent detail. No visible seams. No awkward artifacts. Just a bigger, richer composition that feels intentional from the start.

He shows multiple examples across different scenes. A man in a leather jacket in an alleyway, extended vertically. Each one maintaining the mood, lighting, and style of the original.

This isn't just a party trick. This is a legitimate workflow tool. 🛠️

The Bigger Picture

Every creative tool has a moment where it crosses from "interesting" to "essential." ControlNet outpainting with Lama Inpainting|Lama is that crossing for AI Art|AI image generation.

Because composition isn't just about what's in the frame. It's about what surrounds it. The context. The space to breathe. The ability to take something good and give it room to become something great.

That's not just an AI art principle. That's a life principle. ✨

Your images don't have to stay trapped in the box they were born in. Update ControlNet. Switch to Lama. Push the edges out.

And maybe... just maybe... consider where else in your life you've been accepting tight frames when there's a whole scene waiting to be revealed. The tool is free. The workflow is simple. The only thing stopping you is the willingness to extend beyond what you already see.

Go make something bigger. 💙

--- Source: https://www.youtube.com/watch?v=vpmy_6cyI7c