HyperBooth Takes a Shot at ArtFlow
HyperBooth is a new AI image generation tool that makes some big promises.
It only needs one photo to create an AI image that you can use as your new LinkedIn profile.
In my previous article, I covered how to do this with ArtFlow for free here:
Can HyperBooth provide an easier and cheaper solution?
Or is Artflow still the king of the castle?
Image Creation Baseline
The current gold standard for this type of tool is Artflow.
The features that matter the most to me are high quality images where I look attractive and they are good enough to stop the scroll.
I’m looking for a tool that is competitively prices and has equivalent or easier features.
ArtFlow allows you to generate 400 images each month for free, which is pretty incredible.
You can train the model with just a few pictures of yourself, scanning your face in less than a minute.
Although it might not always capture your best look, it offers a variety of styles including cinematic, fantasy, horror sci-fi, and even classic art styles like Paul Gauguin.
HyperBooth Pricing and Promises
HyperBooth free users can generate up to four photos a day, totaling 120 photos per month, which seems generous.
However, unlike ArtFlow where you get four images per credit, it’s unclear if HyperBooth's 'four photos a day' promise gives a single image or a four-pack.
As we move up their pricing tiers, things get a bit murkier.
HyperBooth's lowest paid plan starts at $96 annually, compared to Art Flow’s $77 per year.
While HyperBooth offers up to 240 photos per month, there are complexities that aren’t clearly explained—like whether credits and photos are interchangeable.
This complexity in their pricing and service structure is a bit concerning.
Time to Test HyperBooth
I signed up for a free Hyper Booth account to test their service.
Right away, I noticed some issues.
The faces generated by Hyper Booth often have the same facial expression across different photos, suggesting that they might not be using an actual AI model to generate these images.
They claim to need just one photo to work with, but the end results don’t showcase varied expressions, which is troubling.
For anyone making thumbnails and trying to use more than one image, the ability to display different facial expressions (happy, scared, excited) is crucial.
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Yet the faces generated by Hyper Booth seem static, lacking this essential variability.
Comparing the Quality
When I generated some images using Hyper Booth, I was immediately disappointed.
The images didn't look like improved versions of myself; instead, they seemed to age me considerably, making me look older and less recognizable.
The sophisticated styles and quality that I get from ArtFlow were simply missing here.
ArtFlow, on the other hand, allows me to upload multiple images to train the model effectively, and the results are more realistic and subtle.
The prompts for generating images are far less complicated, and I find I can quickly achieve great results without needing highly detailed instructions.
Further Analysis
Another issue with HyperBooth is that the generated photos often lack consistency in the outfit styling.
For instance, where Art Flow provides consistency across generated images—from suit details to facial expressions—Hyper Booth’s output varied greatly in these aspects.
This lack of consistency makes it harder to curate a set of cohesive images.
The ability to tweak and modify images is essential for creating the perfect image.
With ArtFlow, I can make minor adjustments and see slight variations in the new images generated.
HyperBooth does not offer this granular control, making it hard to curate minor tweaks.
This lack of detailed control is another downside.
Conclusion: ArtFlow Remains Unbeaten
HyperBooth has several shortcomings that make it a less viable choice compared to Art Flow.
The misleading marketing, complexity in prompts, and the overall quality and realism of the images generated are significant drawbacks.
While it’s commendable that Hyper Booth offers a free tier, it simply doesn’t live up to its promises.
HyperBooth appears to be using an open source Stable Diffusion engine to generate images and then face swap in the photo to the images, as opposed to building an AI model around the uploaded photo.
This could explain the total lack of consistency in the images.
ArtFlow remains the superior choice for those looking to create high-quality AI-generated images that truly reflect their best selves.
What are your thoughts on this comparison?
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