What are the best alternatives to Photoshop Generative Fill?
FLORA is the Generative Fill alternative that edits by instruction: wire an image into an image-to-image node, say what to remove or replace, and the model returns the edited frame on the same canvas. In our run, FLORA removed a pair of glasses and swapped a branded newspaper for a plain notebook with GPT Image 2.5 Flare in 37 seconds for $0.064, with no selection drawn.
Key takeaways
- FLORA edits an image from a written instruction, with no selection or mask to draw.
- Removing one object and replacing another cost $0.064 and took 37 seconds with GPT Image 2.5 Flare.
- The edit kept the mug, tablecloth, vase, window light and framing of the original.
- The original and the edit sit side by side on the canvas, wired together, so you can branch another edit from either.
- The same edit runs from Claude or Cursor through the FLORA MCP.
At a glance
| What it does | Removes, replaces or adds objects in an image from a text instruction |
|---|---|
| Works in | The FLORA app, Claude and Cursor through the FLORA MCP |
| Model in our run | GPT Image 2.5 Flare image-to-image |
| Inputs | One image on the canvas, plus an edit instruction |
| Outputs | Edited PNG at the same ratio, 1248 x 832 in our run |
| Typical cost | $0.064 per edit |
| Typical time | About 37 seconds per edit |
Best for
- Clearing logos, text and stray objects out of generated or shot images
- Swapping props in product photos without a reshoot
- Teams that want each edit saved as its own version
- Batch edits run by an agent across many images
The options
FLORA
Wire any image into an image-to-image node and describe the change. The model returns a new version and keeps the original untouched next to it. The same edits run from Claude or Cursor through the FLORA MCP.
Best for: Teams editing many images by instruction, with every version kept and an agent able to run the batch
- Edit models including GPT Image 2.5, Nano Banana 2.1, FLUX 3 and Ideogram 4.5
- Upscale with Magnific Precision Upscaler V2 on the same canvas
- Up to 20 edits per FLORA MCP call
Pros
- No selection or mask: our edit removed glasses and replaced a branded newspaper from one sentence, in 37 seconds for $0.064.
- Every edit is a new node wired to the original, so nothing is overwritten and any version can branch.
- Each edit is quoted in dollars before it runs, from the app or from an agent.
Cons
- An instruction edit regenerates the whole frame, so small things can shift; list what must stay and compare the two nodes before approving.
- There is no pixel-level brush; for retouching one stray hair, a layer editor is the faster tool.
Photoshop Generative Fill
Adobe Photoshop's tool for filling or replacing a selected area from a text prompt, using Adobe Firefly or a partner model chosen in a model picker. Each generation uses generative credits.
Best for: Retouchers already in Photoshop who need precise, layered edits
Pros
- Results land on their own layer with a mask, inside a full professional editor.
- Firefly fills cost 1 credit each, and partner models such as FLUX Kontext Pro and Nano Banana sit in the same picker.
- Creative Cloud Pro includes 4,000 monthly credits, as of October 2026.
Cons
- Partner models cost more: 10 credits for FLUX Kontext Pro and 40 for Nano Banana Pro, per Adobe's help pages.
- Creative Cloud Pro costs $69.99 a month on an annual plan, as of October 2026.
Affinity
Canva's free photo, vector and layout app for Mac and Windows. Its generative fill, expand and background removal tools run through Canva AI.
Best for: Photoshop users who want a free layer-based editor and already pay for Canva
Pros
- A full professional editor at no cost, with layers.
- Opens PSD, AI, PDF, SVG, TIFF and IDML files.
Cons
- The generative tools need a paid Canva plan and a Canva account.
- Canva's monthly AI usage caps apply.
Pixelmator Pro
Apple's Mac image editor, with machine-learning tools for super resolution, background removal, denoising, masking and a Repair tool for removing objects.
Best for: Mac photographers who want cleanup and masking without credits
Pros
- A one-time $49.99 purchase, or part of Apple Creator Studio at $12.99 a month, as of October 2026.
- Its machine-learning tools run on the device, with no credits.
Cons
- Mac only.
- Apple's page lists object removal and repair, not prompt-based generative fill.
Luminar Neo
Skylum's photo editor, with GenErase, GenSwap and GenExpand for generative removal, replacement and expansion.
Best for: Photographers who want a one-time purchase with generative cleanup
Pros
- Erase, swap and expand cover the common generative edits.
- Sold as a one-time purchase, with no credit meter.
Cons
- The Desktop Only plan includes one year of the AI tools; after that they renew separately.
Krea
A generative app with an AI image editor built on its Krea 3 model for natural-language edits at native 2K, plus upscaling and background removal.
Best for: Prompt-based edits and large upscales without an Adobe plan
Pros
- Upscaling up to 22K on paid plans.
- A free tier with 100 compute units a day, as of October 2026.
Cons
- Compute units vary by model, so cost per edit takes checking.
- Units do not roll over except on Business and Enterprise plans.
What happened when we edited an image in FLORA instead of Photoshop?
On October 16, 2026, we made a product photo with t2i-gpt-image-2-5-flare at 3:2 through the FLORA MCP: a matte white ceramic mug on a pale linen tablecloth, with a folded newspaper and tortoiseshell reading glasses beside it, in soft morning window light. It took 29 seconds and cost $0.055.
The first image had a problem we could not ship: the model printed a real newspaper's masthead on the folded paper. So we edited it. The agent called flora_create_generations with model i2i-gpt-image-2-5-flare, the photo's canvas node in reference_node_ids, aspect_ratio 3:2 and this instruction: "Remove the reading glasses completely. Replace the folded newspaper with a closed plain linen-bound notebook with no text. Keep the mug, the tablecloth, the vase, the window light, the framing and the colors exactly the same."
The edit took 37 seconds and was charged $0.064. The glasses are gone and the linen underneath them is continuous. The newspaper is now a plain linen notebook, and the mug, vase, chair and window match the original.
What went wrong: an instruction edit regenerates the whole frame, so small things can move. The notebook sits at a slightly different angle than the newspaper did. The fix is to name anything whose position matters in the keep list, and to compare the two nodes side by side before you approve.

- Edit model
- GPT Image 2.5 Flare (image-to-image)
- Model ids
- t2i-gpt-image-2-5-flare, then i2i-gpt-image-2-5-flare
- Cost
- $0.055 for the photo, $0.064 for the edit
- Time
- 29 s, then 37 s
| How you edit | Pricing | |
|---|---|---|
| FLORA | Written instruction on the whole image, no mask | Dollars per edit, quoted first; $0.064 in our run |
| Photoshop Generative Fill | Selection plus prompt | Generative credits; Creative Cloud Pro $69.99 a month |
| Affinity | Canva AI tools inside a layer editor | Free app; AI needs a paid Canva plan |
| Pixelmator Pro | Machine-learning repair and masking tools | $49.99 once or Creator Studio |
| Luminar Neo | GenErase, GenSwap, GenExpand | One-time purchase |
| Krea | Natural-language edits with Krea 3 | Free tier; compute-unit plans |
How is editing in FLORA different from Generative Fill?
Generative Fill in Adobe Photoshop fills a selected area from a text prompt, using an Adobe Firefly or partner model chosen in a model picker, and each generation uses generative credits. In FLORA you skip the selection: you describe the change and list what must stay, and the edit model returns a new version of the whole image next to the original.
How do I write an edit instruction that keeps the rest of the image?
Say the change first, then name everything that must not move. Models follow a short keep list better than a general request to change nothing else.
- One change or two per edit; chain more edits as new nodes.
- Name the object precisely: tortoiseshell reading glasses, not glasses on the table.
- Ask for no text on anything new, so the model does not invent labels.
- List what stays: subject, props, light, framing, colors.
Can an agent edit many images at once?
Yes. Through the FLORA MCP an agent can send up to 20 edits in one call, each pointing at a different image, and check them together when they finish. Ask for a quote on the batch first.
Which Generative Fill alternative should you pick?
Pick by how you want to edit. FLORA covers the most for a team: edits by instruction, every version kept, a choice of edit models and batches run by an agent. Layer editors win when one precise pixel-level change matters most.
- Instruction edits across many images, with versions kept and an agent on the batch: FLORA.
- Precise masked edits inside a full professional editor: Photoshop Generative Fill.
- A free layer editor for teams already on Canva: Affinity.
- On-device cleanup on a Mac without credits: Pixelmator Pro.
- A one-time purchase for photo cleanup: Luminar Neo.
- Prompt edits and big upscales: Krea.
Frequently asked questions
Do I need to draw a mask in FLORA?
No. Image-to-image models take the whole image and a written instruction. Name the object to change and list what must stay.
How much does an edit cost?
Our edit with GPT Image 2.5 Flare image-to-image cost $0.064 and took 37 seconds. FLORA quotes the price in dollars before a run.
Is the original image kept?
Yes. The edit is a new node wired to the original, so both stay on the canvas and you can branch another edit from either one.