Lovart has launched the GPT Image 2 model, with unlimited usage for members for the first month.
The Image2 has recently gone viral, with memes and images flooding the internet. This comes just after Apple CEO Tim Cook became a brand ambassador for Huawei.
The Image2 has recently gone viral, with memes and images flooding the internet. This comes just after Apple CEO Tim Cook became a brand ambassador for Huawei.
He was appointed Vice President of Xiaomi Group shortly afterward, and also served as CEO of Xiaomi Auto, even releasing official screenshots on Weibo. This prompted Xiaomi executives to issue an urgent denial.
The memes above were all generated by Image 2, and their raw image generation capabilities are truly impressive. Lovart also updated to Image 2 on time, with unlimited access for members.free30 days.
Taking advantage of this wave of membershipsfreeI quickly went to five real cases, from professional designers to brand marketers to ordinary people.AIPlayers, covering a variety of needs and scenarios, can explore the Lovart Image 2 from every angle.
Case 1: Coffee Brand Solution
Let's start with a scenario that professional designers often encounter: creating a brand poster for a boutique coffee shop called "Mountain Wild Coffee." The client has nothing but a name and three days to prepare. Designers are all too familiar with this situation, right? In the past, it would take three days of searching Pinterest for inspiration, then creating a moodboard, then the main visual, then choosing a font, then adjusting the layout…
Now, open Lovart and throw in a message:
Create the main visual poster for the specialty coffee brand "Shanye Coffee".
Image specifications: 4:5 portrait orientation, 3000×3750 pixels, print quality 300dpi.
-Composition requirements: Place a close-up of the pour-over coffee in the lower third of the center, showing the proportion of an 8cm cup diameter, and highlighting the fine oil texture on the surface of the coffee.
- Background: A view of a Japanese townhouse with wooden lattice windows. Blurred greenery outside the windows extends into the upper left quadrant of the image, creating a three-layer depth of field (foreground-middle ground-background, equivalent to a shallow depth of field of f/2.8).
-Light: Natural light from the side window at 10 a.m., color temperature 5200K, creating soft highlights on the coffee surface and casting a 15° shadow on the wooden tabletop.
Text specifications: The main title "Mountain Coffee" must be presented in authentic brush calligraphy, with the ink density varying in accordance with the logic of brushstrokes, and the beginning of the strokes slightly dry and the ending strokes naturally flying white.
-Title Position: In the upper third of the blank space, forming a diagonal echo with the greenery. The text must have a physical interaction with the image—the last stroke of the character "野" (wild) should appear as if steam is rising from coffee, with the ink and the warm tones of the steam creating a subtle blur, proving that the text "grows" in the scene rather than being added later.
-Color Management: Base Color Warm Beige#F5F0E8Dark roasted brown#3E2723 is used for dark areas of text and desktop.Green plants are used only as accents. Global desaturation processing simulates the color science of Fujifilm Provia 100F.
Output requirement: ZeroAIThe text edges are jagged, with zero floating effect and zero digital sharpening marks, allowing printing plants to directly output film.
Image 2 truly captures the essence of rising mist; the lighting and atmosphere are handled exceptionally well.
Zooming in 300% to examine the edges of the four characters "山野咖啡" (Shanye Coffee) reveals the interlocking of real brush fiber texture with the wood tabletop fibers, rather than a vector outline. The dry ink at the beginning of the stroke and the flying white at the end are perfectly aligned with the direction of the shadows cast by the 5200K sidelight in the background.
But that wasn't all. I casually opened the font generator and uploaded the photo I had just generated.
In three minutes, a font library exclusively for "Mountain Coffee" was created.
Once generated, this handwritten text is a genuine written asset that can be used for brand trademark registration and cannot be purchased elsewhere.
Then, with the Brand Kit created, the logo, color swatches #F5F0E8/#3E2723, and custom font were all locked in. Subsequent menus, cup sleeves, and packaging bags were then attached to this project, resulting in the final images.automaticWith brand specifications, cross-batch color error <ΔE 1.5, meeting Pantone color management standards. Style drift? Not a possibility.
Finally, use a multi-angle approach, employing a 3:4 aspect ratio (Xiaohongshu) and a 9:16 aspect ratio (Douyin) for composition.One-clickSwitch. The client asked for a WeChat Moments cover image; it was done in ten seconds, no need to run a new image.
What used to take three days can now be done in an afternoon. And the delivery isn't just a few scattered images, but a standardized, extensible, and color-traceable brand system.
Case 2: A slice of coffee brand's live-streaming sales on Douyin
They directly provided us with the mountain coffee from Case 1 and arranged for a live-streaming sales segment. Previously, this segmentation process usually involved shooting a video, cutting clips, adding subtitles, and adjusting special effects, taking half a day to complete one segment.
Now just throw it at Lovart.Prompt words:
Generate a dynamic poster featuring video clips from a Douyin livestream sales event. Image specifications: 9:16 portrait orientation, 1080×1920 pixels, with high-quality video frame cuts. Product: Drip coffee bags.
Composition: The narrative is divided into upper and lower sections—the top 60% features a product hero shot, with a close-up of the host holding the product on the left and a live stream UI overlay on the right; the bottom 40% shows the native Douyin live stream interface, including a real-time sales counter "1,000,000+ cups sold" (monospace font ensures aligned numbers), a time-limited countdown "23:59:59" (colon vertically centered), and a scrolling bullet screen comment section.practicalUser comments ("Finally got it!" "This tastes amazing!"), bottom "Buy Now" button (rounded corners 8px, shadow 0 4px 12px rgba(0,0,0,0.15)). UI precision requirements: All elements strictly match the native specifications of Douyin Live 8.2.0 version—sales badge rounded corners 4px, corner mark red #FF2442, user avatar 40px rounded corners, timestamp format "2 minutes ago". The host's expression is natural, like a screenshot from a real live stream.AIThe image has slight motion blur, like a video frame cut. The text layer must support post-processing motion tracking, and each UI layer should be independent and separate.
Image 2 takes about 3 minutes to generate an image, and at a glance, who can tell the difference between the real and fake?
Let's examine the details more closely, checking each pixel. The "Sold" numbers are in a fixed-width font, the countdown colon is vertically centered, and the scrolling speed of the comments matches the smooth 60fps of Douyin (TikTok). Everything is perfect. The font of the price tags, the style of the countdown numbers, and the layout of the product showcase are almost identical to a real Douyin live stream. It looks like it, and the details match up. It's acceptable.
Now for the important part: within the Lovart canvas, I can directly use text descriptions to change the female streamer's clothes. First, I'll change the streamer into a new Chinese-style outfit.
Let's boost sales even further, going straight from 1 million cups to 9 million cups.
Both its speed and quality are top-notch.
You can also generate live videos in one stop with Lovart by simply selecting seedance2.
Case 3: Coffee brand product recommendations on Xiaohongshu (Little Red Book)
Now that the live stream is done, let's get some product recommendations for our Shanye Coffee on Xiaohongshu (Little Red Book).
Anyone in the brand business knows what the biggest fear in product placement images is these days: They're afraid of being fake.AIThe look. Skin polished to look like a porcelain doll, lighting like stage lights—this kind of obviously fake look won't grab the user's attention.
So what would you do if you received this request: six photos of ordinary people recommending coffee shops, in six different scenes, and they should look like casual snapshots taken by a friend, so that it doesn't look like a professional photoshoot.AI.
Prompt wordsThis is what I wrote:
Generate 6 realpracticalUser-generated content (UGC) style coffee recommendation photos, image specifications: 1080×1440 pixels (4:5), 72dpi to simulate the native compression texture of mobile phones. Scene setting:
1) Bedroom dressing table: cluttered background with cosmetics, mirror reflection with fingerprints and oil stains, main light source is a combination of table lamp on the right and window on the left, with inconsistent color temperature; 2) Subway car: holding a coffee cup, background is blurred, fluorescent lights overhead flicker, skin tone is affected by reflections from the car walls.
3) In the office workstation, the keyboard, coffee cup, and sticky notes are in the frame, and the top lighting and screen reflections create a division of light and shadow on the face;
4) Outdoor cafe terrace, natural light at 3 pm, dappled shadows cast on the face, iPhone overexposed features;
5) University library, with a combination of overhead fluorescent lights and desktop lamps, the stacks of books create a deep background, giving a natural, bare-faced look;
6) Sunbathing on the balcony in the afternoon, with side lighting, the clothes wrinkles naturally, and the background is blurred to include the city skyline.
Core technical requirements: iPhone 14 Pro native camera aesthetics - slight overexposure of highlights, lifted blacks, natural skin texture with visible pores and fine lines, no beautification or skin smoothing, realistic dark circle texture, and stray hairs.
The lighting must be an organic mix: indoor fluorescent light + window light, midday hard light + long shadows, and warm tones during the golden hour. Colors should simulate iPhone photography style, with standard processing and slight desaturation.
Product Integration: The coffee cup must be held naturally in a handheld position, not centered, and the cup wall must contain genuine fingerprints, oil stains, and condensation droplets. Studio lighting is prohibited; stiff, posed photos of models are prohibited; perfectly symmetrical compositions are prohibited.
Defects are a mandatory requirement.
Output: The platform algorithm is not recognizable asAIThe generated content is considered acceptable if users in the comments section ask "what filter was used?"
The image generated by Image 2, who can tell that it is... AI Generated!
Let me zoom in and show you guys the lighting, the skin texture, even the individual strands of hair look so realistic.
I posted it in a group chat and asked my friends to guess, and half of them said they couldn't tell.AIGenerated.
The client said, "Add a Xiaohongshu interface, make it look like a real screenshot." I simply typed the client's request into the chat box, and it was done in 3 minutes.
Of course, you can also switch to the Instagram interface and do the same thing.
Anyway, I can't tell the difference between real and fake anymore.
Case 4: 90s Retro
This project was purely for my own amusement. Retro style is really popular lately, and I wanted to create a set of 90s yearbook photos—nine different looks, all in the same color scheme—to post on social media.
In the past, I had to generate each image one by one, adjust the style, and piece them together in a nine-square grid, and the style was often off-track.
Lovart's infinite canvas generates nine images at once; I'll throw them out first.Prompt words:
Generate 9 yearbook-style photos in a unified retro warm color tone, reminiscent of the 1990s.
Image specifications: 1080×1080 pixels (1:1), simulated Fuji Superia 400 film color science, lifted blacks + slight fading. Each image features a different young Asian person, dressed in: denim jackets, plaid shirts, tracksuits, overalls, floral skirts, leather jackets, hoodies, striped T-shirts, and cargo pants.
Technical Requirements: Each photograph must contain authentic film grain (ISO 400 noise characteristics), vignetting (lens vignetting), and a date stamp "1997.03.15" in equal-width font to simulate film printing. Some photographs may contain handwritten annotations, such as "Senior Three Class Two" or "Spring Outing," which must be rendered with authentic ballpoint/fountain pen handwriting, with the ink penetrating the photographic paper fibers to match the faded texture of the film. Facial expressions should be natural, resembling yearbook photos.AITaste. Nine photos with a unified style, like a photo album series by the same person; color deviation of a single photo is prohibited from exceeding ΔE 5.
Let's look at the handwriting first. Zoom in on the four characters "Senior Three Class Two"—it's so realistic! The handwriting doesn't just float on the surface; it really looks like it's written on a photograph. And this adorably ugly handwriting is exactly the same as my deskmate's.
Take these nine pictures and post them on Xiaohongshu (Little Red Book) with the caption: "My parents were incredibly good-looking in their younger days." Guess how many likes they'll get?
Lovart also allows you to use an infinite canvas with Text Editing to batch generate images and flexibly edit text, instantly transforming it into a powerful tool for mass production of social media content.
For example, change Wang Lei to Li Guoqiang.
The handwriting remains unchanged, that's amazing.
Case 5: Amazon Multilingual E-commerce Solution
In the last case, a friend in the cross-border e-commerce industry contacted me, requesting product images in four languages: English, Japanese, Korean, and Chinese, as well as compatibility with Amazon, and finally, a PSD file.
I'm a bitPrompt wordsThrow it in:
Generate Amazon A+ content main image for a portable coffee machine.
- Image specifications: 3000×3000 pixels, pure white background #FFFFFF, product projection angle 135°, blur radius 8px, opacity 25%.
- Layout Guidelines: Strictly follow Amazon A+ module standards - the main product occupies 60% of the left side of the screen, and the right side 40% is a three-layer information hierarchy area.
- Multilingual parallel generation: Simultaneously output English/Japanese/Korean/German versions. Each version must use a culturally adapted font—San Francisco Bold for English, Yu Mincho for Japanese (with vertical headings allowed), Nanum Gothic for Korean (with character spacing optimized to 1.2 line height), and Source Han Sans Heavy for Chinese. The text in each version must not be merely a translation; it must be a localized, restructured layout.
- Clear layering of visual elements: The foreground product layer, midground information layer, and clean background layer are clearly defined, facilitating post-production separation. Amazon Skills were used to standardize the size and layout.
For Image 2's multilingual rendering, I first checked the layout. The Japanese version used the correct Yumincho W6 font weight, and the character spacing wasn't cramped; the Korean version had 1.2 times the line height for character spacing, conforming to Korean e-commerce visual standards; the English title "San Francisco Bold" had a stylish contrast in weight; the Chinese Source Han Sans Heavy font had a 92% character coverage, aligned with the English baseline. It didn't feel awkward like the Chinese characters were just forcibly applied.
When editing text in Text Edit, I changed the Japanese phrase "充電式" (chōngdiéshì) to "急速充電" (jísùchōngdi), and the font weight, line spacing, and character size of the Yu Mingchao style were all preserved. Text replacement is really convenient.
Then MockupOne-clickPaste the image into Amazon's PC/mobile/App previews to verify the readability of the information hierarchy. The main product content accounts for 60% of the text without intruding into the text safety area. The three-layer information hierarchy conforms to Amazon's A+ visual flow, which is quite worry-free.
beforeAIThe biggest embarrassment with outputting images is not having a PSD file; you're caught off guard when a client asks. Now, Lovart...One-clickExport layered PSD files, each layer is independently named and its position is completely consistent with the canvas, allowing printing plants to directly produce CTP plates.
Lovart truly understands the pain points of designers.
I've done so many testsAITo be honest, many design tools can simply generate a nice-looking image. But the design work doesn't end there. You also need to modify text, adjust layout, create multilingual versions, apply mockups, separate layers, submit source files, and maintain brand consistency.
If any step gets stuck, all the previous creative ideas will be wasted.
Image 2 addresses the "generation" aspect, while Lovart addresses the "delivery" aspect..
Lovart Pro members can now enjoy unlimited data.freeUse Image 2. My advice is: don't just look at it, try it out. Run a few of your own cases, get a feel for it, and you'll understand.
One picture shows consumables.A deliverable system is an asset..AIFinally, we're starting to help designers build assets instead of creating garbage.
🔗 Official Website: https://www.lovart.ai/
Original link:Image 2: Unlimited raw images are here! I'm having a blast using Lovart to run a full-stack application. AI design!