Stop Regenerating. Start Editing.
The most common workflow in AI image generation is also the most wasteful: generate → spot a flaw → delete → re-prompt → repeat. A logo has a typo? Regenerate. A product is the wrong color? Regenerate. The background object is distracting? Regenerate. Each cycle discards what was good about the previous generation and rolls the dice again.
Lovart’s **Touch Edit** replaces this lottery with surgical precision. You do not regenerate. You click the problem, tell the AI what to change, and it regenerates only that area while preserving everything else. This article covers the three fundamental Touch Edit gestures — reposition, recolor, remove — that eliminate 90% of regeneration from your workflow.
Gesture 1: Reposition — Move Anything Without Ruining the Composition
The problem: You generated a beautiful product photo. The composition is perfect — lighting, depth of field, color grade. But the product is slightly off-center, or you want more negative space above it for headline text, or the secondary object is crowding the focal point.
On any other AI image tool, you regenerate. On Lovart, you reposition.
How to do it:
1. Click the object you want to move. Touch Edit highlights it with a soft blue outline — the AI has identified it as a distinct semantic entity.
2. Type your instruction: *”Move this vase 20% to the left and 10% upward.”*
3. The AI regenerates the image with the object relocated. The background, lighting, shadows, and all other objects remain unchanged. If the object cast a shadow, the shadow moves with it.
When to use reposition vs. regenerate:
Advanced reposition:
You can combine reposition with style instructions: *”Move the lamp to the left edge of the frame and change its finish from brass to matte black.”* Touch Edit executes both changes in one pass — spatial and material — while preserving the rest of the scene.
Gesture 2: Recolor — Change Any Object’s Material, Color, or Finish
The problem: The product is forest green. The brief says sage green. On other tools, you re-prompt and hope the new generation preserves everything else that worked. It rarely does.
How to do it:
1. Click the object. Touch Edit identifies it.
2. Type: *”Change this mug to sage green, matte ceramic — hex #9CAF88.”*
3. The AI recalculates the object’s material properties: color, reflectivity, texture. But it preserves the object’s shape, the lighting interaction (highlights, shadows), and the background.
What recolor can do beyond color:
Recolor precision: Use hex codes for exact color matching. *”Change the label to #2A52BE (cerulean blue).”* Without a hex code, the AI approximates — usually close, but not exact enough for brand work.
Gesture 3: Remove — Delete Distracting Elements Without a Trace
The problem: The image is 95% perfect. But there is a distracting reflection on the table. Or a background object that pulls focus. Or a texture artifact from the generation. On other tools, you export to Photoshop and spend 10 minutes with the clone stamp. On Lovart, you remove it in seconds.
How to do it:
1. Click the distracting element.
2. Type: *”Remove this [describe the element].”*
3. The AI erases the object and fills the space with contextually appropriate content — the background continues naturally, textures match, lighting is consistent.
What removal handles well:
What removal handles less well:
When to use remove vs. reposition:
Putting It All Together: A Real Edit Session
Starting image: A hero product shot for a coffee brand. The composition is strong — warm morning light, shallow depth of field, rich shadows. But three things need fixing:
1. The coffee bag label says “Medium Roast” — the brief says “Dark Roast.”
2. The bag is slightly too tall — proportions look stretched.
3. There is a distracting spoon on the table that pulls focus from the product.
The fix (under 30 seconds):
1. Click the bag → *”Scale this bag to 85% of current height. Preserve width.”* (reposition variant — spatial transform)
2. Click the label text → **Text Edit:** *”Change ‘Medium Roast’ to ‘Dark Roast.'”*
3. Click the spoon → *”Remove this spoon.”*
Three edits. Zero regenerations. The lighting, composition, depth of field, and all other objects remain exactly as they were. The image is now production-ready.
This workflow — identify problems → fix surgically → done — replaces the “regenerate until lucky” loop that defines other AI image tools. For a complete walkthrough of how Touch Edit integrates with Edit Elements and Smart Mockups in a full design session, see our [ChatCanvas getting started guide](/blog/05-pillar-getting-started-lovart).
FAQ
Q: Does Touch Edit work on images not generated by Lovart?
A: Yes. Upload any image — photograph, stock image, AI generation from another tool — and Touch Edit identifies objects within it. The editing quality is slightly better on Lovart-generated images (because the AI has semantic metadata from the original generation), but uploaded images work well for most edits.
Q: What if Touch Edit misidentifies the object I clicked?
A: It usually gets it right, but if it selects too much or too little, refine with: *”Tighter selection — just the handle, not the entire mug.”* or *”Broader selection — include the shadow under the object.”* The AI adjusts the selection boundary conversationally.
Q: Can Touch Edit change the lighting of the entire scene?
A: Touch Edit is for localized edits. For global lighting changes, use conversational iteration: *”Make the overall lighting warmer and more dramatic.”* This regenerates the scene with adjusted lighting parameters while preserving composition and subject.
Q: Is there a limit to how many Touch Edits I can do on one image?
A: No hard limit, but quality can degrade after 5-7 edits on the same image as each edit is a partial regeneration that introduces subtle changes. For heavy editing, use Edit Elements to decompose the image into layers and work on each independently.
Internal Links
| Anchor Text | Target |
|————-|——–|
| ChatCanvas getting started guide | `/blog/05-pillar-getting-started-lovart` |
| Brand Kit guide for every industry | `/blog/complete-guide-brand-kit-every-industry-lovart` |
| conversational prompting guide | `/blog/how-to-chat-generate-any-design-type-lovart-agent` |
| Lovart signup | `https://lovart.ai/signup` |
| Lovart pricing | `https://lovart.ai/pricing` |
*Best Practice article for blogs.lovart.ai.*
