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Recolor outfits, swap activewear designs, and change background tones. Create complete look book variations from a single photo.
From 15 credits (~$0.47) per edit · No subscription required
Input

Output

Prompt Used
Transform the activewear outfit to emerald green with athletic design details, change the background to warm cream beige tone, and update the sneakers to black with gold accents.
Powered by cutting-edge AI technology that delivers unmatched quality and performance
Generate dozens of color variations from a single photo shoot — black, navy, blush, neon — without reshooting.
Change outfit, shoes, and background colors together in one prompt for cohesive look book spreads.
Body proportions, facial features, hairstyle, and positioning stay identical across all variations.
Create 10 colorways in minutes instead of scheduling separate photo sessions for each variation.
Recolor clothes so folds, seams, stitching, and sheen respond like real dyed fabric — not a flat hue-shift filter. A matte knit stays matte, a glossy panel keeps its shine.
Swap each colorway onto a matched background tone — blush, gray-blue, cream, sage — so the whole look book spread reads as one intentional shoot rather than mismatched frames.
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AI look book generator — product colorway variations from one photo. Recolor outfits, swap fabrics, change backgrounds. 15 credits per image.
AI Look Book AI look book generator — product colorway variations from one photo. Recolor outfits, swap fabrics, change backgrounds. 15 credits per image.
Learn more about AI Look Book features, pricing, and how it compares to alternatives.
Everything you need to know about AI Look Book
Upload a fashion or activewear photo and describe the color changes you want. AI recolors outfits, changes design details, updates backgrounds, and even modifies shoe colors to create cohesive look book variations.
Yes. Describe all changes in one prompt. Change the outfit from pink to black, background from pink to gray-blue, and sneakers from white to gold-accented — all in a single generation.
Look Book is designed for fashion brands, activewear companies, and e-commerce. Generate multiple colorways from one photo shoot instead of shooting each variation separately.
Yes. The model's pose, body proportions, facial features, hairstyle, and positioning are all preserved. Only the specified elements (colors, textures, design details) change.
A traditional look book means booking the same model, photographer, studio, and stylist for every colorway you want to show. Ten colorways can mean ten setups, ten lighting resets, and ten rounds of retouching. An AI look book generator shoots the garment once, then produces every other colorway from that single frame. You keep the model, the pose, and the lighting identical across the whole spread, so the set looks like one coordinated shoot rather than ten separate ones. The cost is measured in credits per variation instead of studio day-rates, and you can add a colorway the day before a launch without re-hiring anyone. That is why activewear brands, boutique fashion labels, and Shopify sellers use it to fill out a product grid that would otherwise be too expensive to shoot in full.
Yes. This is a design-aware clothing recolor, not a flat color overlay. You can recolor the outfit from pink to black, then add white mesh panel inserts along the thigh, drop in subtle gray geometric color-blocking on the hips, and update the sneakers to black with gold accents — all in one prompt. The AI keeps the fabric behaving like fabric: folds, seams, stitching, and sheen respond to the new color the way real dyed cloth would, so a matte cotton stays matte and a glossy activewear panel keeps its shine. That is the difference between a believable colorway variation and an obvious hue-shift filter. For the strongest results, describe the material as well as the color — "deep burgundy athletic knit with a soft sheen" reads more convincingly than just "red."
It works best for garments and worn products where colorway is the main variable: activewear sets, leggings, sports bras, hoodies, swimwear, dresses, sneakers, and accessories like bags and caps. It also handles background tone changes so each colorway sits on a coordinated backdrop — soft pink, cool gray-blue, warm cream, sage green — which is what makes a look book spread feel intentional. It is less suited to products where the exact Pantone must be certified for manufacturing, since AI color is an approximation for marketing imagery, not a dye spec. For catalog and campaign visuals, though, it covers the vast majority of fashion and activewear colorway needs. If you also want lifestyle backdrops rather than tone swaps, pair it with <a href="/image/ai-background-studio" class="text-pink-400 underline">AI Background Studio</a>.
There is no fixed cap. From a single source photo you can generate as many colorways as you have credits for — a five-color capsule, a full seasonal range, or a quick A/B test of two backgrounds. Each variation is an independent edit at the same credits per edit shown on this page, and Lightning mode uses fewer credits when you want to test many directions quickly. Because the model and pose stay locked to the original frame, every colorway you add stays visually consistent with the rest of the set, so the spread grows without drifting. Many teams generate a wide first pass, pick the winners, then re-run only those in Standard mode for the final grid.
Name every element you want changed and the target for each, and state what to keep. A strong prompt reads like a stylist brief: "Change the activewear set from pink to black with modern athletic design; add white mesh panel inserts along the thigh sides; transform the background from soft pink to cool gray-blue; update the sneakers to black with gold accents; keep the model, pose, and hairstyle exactly the same." Being explicit about the material ("matte black knit," "glossy panel") and the background tone produces a cohesive, catalog-ready frame. Vague prompts like "make it a different color" give unpredictable output. Because Lightning mode is cheaper, run two or three quick passes to compare directions before committing your final set.
Yes, and this is what makes an AI look book usable for a real product grid. The model's body proportions, facial features, hairstyle, hand positions, and exact pose are all held constant from the source frame — only the elements you name (outfit color, fabric detail, shoe accents, background tone) change. That consistency is the difference between a coherent look book spread and a set of mismatched images that clearly came from different sessions. Because the person and pose never drift, a shopper scanning your product page sees the same garment on the same body in five colors, which is exactly what helps them choose a size and color with confidence. If a face or pose ever looks slightly off, re-run the edit with a cleaner instruction rather than pushing multiple big changes in one prompt.
Yes. Describe the target color in whatever language fits your brief — a named color ("emerald green," "burgundy," "sage"), a mood ("warm cream," "cool gray-blue"), or a palette direction ("muted autumn tones," "bright summer neons"). The AI applies it to the outfit and can shift the background tone to coordinate, so a spring capsule reads soft and warm while a performance line reads bold and high-contrast. Keep in mind AI color is an approximation for marketing imagery, not a certified dye value, so if a colorway must match a manufactured Pantone exactly, treat the AI output as the campaign visual and confirm the physical dye separately. For most catalog, social, and ad use, the match is more than close enough to sell the range.
Yes. The colorway workflow is not limited to womens activewear — it recolors menswear (tees, hoodies, joggers, jackets), kids apparel, footwear, and accessories like caps, bags, and socks with the same design-aware behavior. Anything worn or shown where color is the main variable is a good fit. Structured items like sneakers keep their paneling and stitching while the color changes; soft goods keep their drape and folds. The one caveat is very reflective or transparent materials (mirror finishes, clear plastics) which are harder to recolor believably than matte fabric. For a typical apparel and footwear range, though, you can build the full colorway grid from one shoot per style.
Recolor outfits, swap activewear designs, and change background tones. Create complete look book variations from a single photo.
From 15 credits (~$0.47) per edit · No subscription required
AI-generated color variations. Final colors may differ from exact specifications. 15 credits per edit.
Upload one fashion photo and generate unlimited colorway variations — black, navy, blush, neon — without reshooting. AI recolors outfits, shoes, and backgrounds in a single prompt.
Body proportions, facial features, hairstyle, and pose are preserved identically across every colorway. Only the specified elements change — outfit color, shoe accents, background tone.
Built for fashion brands, activewear companies, and e-commerce teams. Generate 10 colorways in minutes instead of booking separate photo sessions. 15 credits per variation, plans from $19.99.
A traditional shoot re-books the model, photographer, studio, and stylist for every colorway, then retouches each set separately — so ten colors is roughly ten times the work. An AI look book generator shoots the garment once and produces the rest from that frame, holding the model and pose constant so the spread stays consistent. Here is how the two approaches compare:
| Factor | Traditional colorway shoot | Imagera AI Look Book |
|---|---|---|
| Cost per extra colorway | New setup, model, studio time | Credits per edit, no re-hiring |
| Turnaround | Days to schedule + shoot | Minutes per variation |
| Consistency across colors | Pose/lighting can drift | Model and pose locked |
| Last-minute additions | Requires a reshoot | Add a colorway anytime |
Activewear and athleisure brands building full colorway grids, boutique fashion labels previewing a capsule before manufacturing, Shopify and Etsy sellers filling out a product page with color options, and social teams testing which colorway performs before a drop. The common thread is needing many consistent color variations from one strong photo. For a deeper walkthrough, see the AI angle changer and look book for fashion photos guide, and the full AI image editor for edits beyond colorways.
A typical launch starts with one clean product shoot per style — a single strong photo of the garment on your model in the base colorway. From that frame you generate the rest of the range: each planned color, each with a coordinated background tone, all holding the same pose so the grid is consistent. You then drop those variations straight onto the product page as color options, into the launch email as a spread, and onto social as a teaser. Because adding a colorway is a credits-per-edit operation rather than a new shoot, you can respond to demand — add the color a customer keeps asking for, or test two backgrounds before you commit — without re-booking anyone. That flexibility is what lets a small team ship a full-looking range on a fast timeline.
Manually recoloring an outfit in Photoshop means masking the garment by hand, painting in a new hue, and then fixing the folds, seams, and sheen so the fabric still looks real — slow, skilled work that has to be repeated for every colorway and every image. AI Look Book does the masking, recoloring, and material-aware relighting from a single plain-English prompt, and it can change the outfit, shoes, and background together in one pass. Photoshop still wins when you need pixel-exact, art-directed control over a hero image; the AI look book wins on speed and volume when you need many consistent colorways fast. Many teams use both: the AI to generate the full range, then a light manual touch-up on the single hero frame if needed.
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