Flux AI Kontext Takes CHARACTER CONSISTENCY to the Next Level
In this video tutorial, we will be seeing how the latest Flux AI Kontext Pro model can generate consistent characters with ease and then edit those images without losing consistency too. We will be using the Black Forest Labs playground tool to use this model. At the end, we will also be doing a pixel test to actually see how consistent these images actually are. Here’e the video:
Video Summary
This video analyzes the new Flux AI Kontext model, emphasizing its capability to maintain character consistency across different generations and edits. The demonstration is performed using Black Forest Lab’s official playground, where new users are granted 200 free credits, allowing for 50 image generations or edits [00:40].
Here is a brief summary of the key points:
- Access and Credits: Users can sign up for the free demo and receive 200 credits, with each generation costing 4 credits [01:03].
- Character Generation: The process involves uploading a reference image and using a prompt to generate the initial scene [01:54]. The video recommends using the default Flux Context Pro model for better adherence to the reference image than Context Max [02:20].
- Saving Credits: A key tip is to change the default batch size from four to one or two variations to save credits for more edits [02:49].
- Consistent Editing: The model’s true strength is showcased by editing a generated image (e.g., changing a red dress to green) while the character’s face and appearance remain highly consistent [03:55]. This feature is demonstrated again by changing a full-body shot to a close-up [05:28].
- Objective Test: The video uses a pixel-by-pixel comparison tool (Diff Checker) to objectively prove consistency. The comparison shows that most of the pixel changes are confined only to the areas that were edited, validating Flux Context as a leading model for consistency [07:44].
Important Links
Link to download the image used in the video:
For other important links to the tools shown in the video, please watch the video on YouTube app/website, since the links are in the description of the video.
