0:00
/0:31

Flux Kontext expands your images into panoramic views directly in ComfyUI. Instead of cropping or stretching, it intelligently generates new content that extends beyond your image borders, creating seamless panoramic scenes.

What You'll Get

This workflow takes a standard image and generates extended panoramic versions by:

  • Analyzing your input image's context and style
  • Generating new content that naturally extends the scene
  • Creating horizontal panoramas up to 3x the original width
  • Maintaining consistent lighting, perspective, and artistic style

Best for: Landscapes, cityscapes, interior shots, and any scene where you want to reveal "what's beyond the frame."

What is Panorama? What are advantage of using Image-to-Panorama?

0:00
/0:31

A panorama is an image that captures a much wider field of view than a standard photograph, often stretching across an entire landscape or environment to reveal far more than what a single frame can show. Traditionally created by stitching together multiple overlapping photos, panoramas provide a seamless, immersive scene that can be horizontal, vertical, or even a full 360-degree view. In image generation, panoramas are especially useful because they allow creators to expand the context and storytelling potential of a single image, offering a broader perspective and more detail. This capability is valuable for photographers and artists seeking to produce striking, high-resolution visuals, as well as for architects and real estate professionals who need to showcase spaces in a comprehensive, interactive way.

0:00
/0:31

Marketers, educators, and those in travel or tourism can also benefit, using image-to-panorama and 3D view features to create virtual tours, interactive content, and engaging educational materials. Ultimately, panoramas and 3D views transform ordinary images into immersive experiences, making them more informative, captivating, and useful for a wide range of creative and professional applications.

Get ready to see your pictures in a whole new light!

Download Workflow

Installation guide

  1. Download the workflow file
  2. Open ComfyUI (local or ThinkDiffusion)
  3. Drag the workflow file into the ComfyUI window
  4. If you see red nodes, install missing components:
  • ComfyUI Manager > Install Missing Custom Nodes
ThinkDiffusion-StableDiffusion-ComfyUI-Image2Image-Flux-Kontext-Panorama
Download the File Here
ThinkDiffusion-StableDiffusion-ComfyUI-Image2Image-Flux-Kontext-Panorama.json
1007 KB
download-circle

Verified to work on ThinkDiffusion Build: June 27, 2025

ComfyUI v0.3.42 with the use flux1-kontext-dev.safetensors

Note: We specify the build date because ComfyUI and custom node versions updated after this date may change the behavior or outputs of the workflow.

Minimum Machine Size: Ultra

Use the specified machine size or higher to ensure it meets the VRAM and performance requirements of the workflow

💡
Download the workflow and drag & drop it into your ComfyUI window, whether locally or on ThinkDiffusion. If you're using ThinkDiffusion, minimum requirement is the Turbo 24gb machine, but we do recommend the Ultra 48gb machine.
💡
We would like to credit and give Special thanks to Dennis Schöneberg for providing this concept of his workflow.

Custom Nodes

If there are red nodes in the workflow, it means that the workflow lacks the certain required nodes. Install the custom nodes in order for the workflow to work.

  1. Go to the ComfyUI Manager  > Click Install Missing Custom Nodes
  1. Check the list below if there's a list of custom nodes that needs to be installed and click the install.

Required Models

For this guide you'll need to download these 8 recommended models.

1. flux1-kontext-dev.safetensors
2. clip_l.safetensors
3. t5xxl_fp16.safetensors
4. ae.safetensors
5. alimama-creative-FLUX1-Turbo-Alpha.safetensors
6. HDR360.safetensors
7. 4x-ClearRealityV1.pth
8. Florence-2-base
  1. Go to ComfyUI Manager  > Click Model Manager
  1. Search for the models above and when you find the exact model that you're looking for, click install, and make sure to press refresh when you are finished.

If Model Manager doesn't have them: Use direct download links (included with workflow) and upload through ThinkDiffusion MyFiles > Upload URL. Refer our docs for more guidance on this.

You could also use the model path source instead: by pasting the model's link address into ThinkDiffusion MyFiles using upload URL.

Model Name Model Link Address ThinkDiffusion Upload Directory
flux1-kontext-dev.safetensors
📋 Copy Path
.../comfyui/models/diffusion_models/
clip_l.safetensors
📋 Copy Path
.../comfyui/models/clip/
t5xxl_fp16.safetensors
📋 Copy Path
.../comfyui/models/text_encoders/
ae.safetensors
📋 Copy Path
.../comfyui/models/vae/
alimama-creative-FLUX1-Turbo-Alpha.safetensors
📋 Copy Path
.../comfyui/models/loras/
HDR360.safetensors
📋 Copy Path
.../comfyui/models/loras/
4x-ClearRealityV1.pth
📋 Copy Path
.../comfyui/models/upscale_models/
Florence-2-base
Auto Download
Auto Upload
💡
If you encounter this model diffusion_pytorch_model.safetensors after you upload the model for alimama-creative-FLUX1-Turbo-Alpha.safetensors, just renamed to its exact name.

Step-by-step Workflow Guide

This workflow was pretty easy to set up and runs well from the default settings. Here are a few steps where you might want to take extra note.

Steps Recommended Nodes
1. Load an Image

Load an image that is good for 3D panorama view somthing like surrounding, landscape, interior, etc.
2. Set the Models

Set the models as seen on the image.
3. Check Prompt

Check the prompt. You don't need to write anymore.
4. Check Sampling

Check the sampling settings it should be the same as seen on the image.
5. Check Crop and Panorama Settings

Don't change the settings for crop and other settings.
6. Check Upscale

Check the upscale settings. It should x2 only for upscale. Otherwise the workflow will crash.
7. Check Output
💡
From my perspective, the seamless quality of these panoramas truly stands out. I’ve found them to be ideal for VR environments, immersive displays, and any project where a genuine 360-degree visual experience is essential. The absence of jarring transitions or visible seams significantly enhances the sense of immersion, making the visuals feel smooth and uninterrupted. This level of quality has made a noticeable difference in my work, especially when aiming to create captivating and realistic virtual experiences.
💡
When preparing to load an image as input, I always ensure that the image is not captured from a 3D perspective or already in an isometric view. Using such angles can cause the generated panorama to appear distorted or misaligned. Instead, I select images taken from a direct, head-on angle, as this provides the most accurate and seamless results. Additionally, I prioritize high-quality images to maintain clarity and detail throughout the panorama generation process. This careful selection helps me achieve visually consistent and professional panoramic outputs.
💡
When I want to achieve a noticeable boost in both image quality and fine detail, I make it a point to apply tiled diffusion upscaling. This technique allows me to enhance the resolution and sharpness of the final output, ensuring that even the smallest features are rendered with impressive clarity. 

Examples

0:00
/0:32
0:00
/0:23
0:00
/0:45

Troubleshooting

Red Nodes: Install missing custom nodes through ComfyUI Manager
Out of Memory: Use smaller expansion factors or switch to Ultra machine
Poor Quality: Check input image resolution and adjust kontext strength
Visible Seams: Lower strength and ensure good prompt description

If you’re having issues with installation or slow hardware, you can try any of these workflows on a more powerful GPU in your browser with ThinkDiffusion.

TRY THINKDIFFUSION