InstructPix2Pix vs Palette.fm

Explore the showdown between InstructPix2Pix vs Palette.fm and find out which AI Photo Editing tool wins. We analyze upvotes, features, reviews, pricing, alternatives, and more.

In a face-off between InstructPix2Pix and Palette.fm, which one takes the crown?

When we contrast InstructPix2Pix with Palette.fm, both of which are exceptional AI-operated photo editing tools, and place them side by side, we can spot several crucial similarities and divergences. In the race for upvotes, InstructPix2Pix takes the trophy. InstructPix2Pix has garnered 98 upvotes, and Palette.fm has garnered 33 upvotes.

Don't agree with the result? Cast your vote and be a part of the decision-making process!

InstructPix2Pix

InstructPix2Pix

What is InstructPix2Pix?

InstructPix2Pix edits a photo from a plain-language instruction such as "make the sky sunset orange" or "turn this into a watercolor." You provide an input image and a short text command, and the model returns an edited version in seconds without training on that specific photo first. It was published as a CVPR 2023 Highlight by researchers at UC Berkeley.

Mask-based editors make you paint regions before changing anything. InstructPix2Pix runs a single forward pass from text alone, skipping per-image fine-tuning or inversion steps that slow other diffusion edit workflows. The trade-off shows up in the paper's failure cases: viewpoint changes, object swaps, and tight local edits remain weak spots.

The project ships open source code on GitHub and a Hugging Face demo space for trying edits in a browser. Training combined GPT-3 and Stable Diffusion to synthesize instruction pairs, and the released model generalizes to real photos up to about 768 pixels wide despite 256x256 training resolution.

Palette.fm

Palette.fm

What is Palette.fm?

Palette.fm colorizes black-and-white photos through a browser upload flow with 21+ filter presets and keyword-based color tweaks. Upload an image, pick a filter, adjust descriptive keywords if needed, then download a full-resolution result or keep iterating on previews. The photo editing workflow targets family historians, photographers, and creators restoring old prints without opening Photoshop.

Most colorizers lean on heavy sepia and purple casts with little room to steer skin tones or fabric colors. Palette.fm lets you click a filter then fine-tune hues through plain-language keywords, and it sells one-time credit packs alongside subscriptions. Free previews cap at 500x500 pixels with a watermark, while paid credits remove the logo and support files up to 5000x5000 pixels.

Genealogy researchers, photo archivists, and YouTube educators use Palette.fm to batch-test color looks before committing credits. The site reports 54 million photos colorized and 6.6 million registered users, with an API option for teams that want programmatic access.

InstructPix2Pix Upvotes

98🏆

Palette.fm Upvotes

33

InstructPix2Pix Top Features

  • Edit an uploaded image from a written instruction without manual masking or per-image fine-tuning

  • Runs edits in a forward pass and returns results in seconds rather than minutes-long inversion workflows

  • Generalizes to real photos up to about 768 pixels wide despite 256x256 training resolution

  • Open source code on github.com/timothybrooks/instruct-pix2pix with a Hugging Face demo space

  • Allows chained instructions where multiple sequential edits compound on the same photo

Palette.fm Top Features

  • 21+ color filters with before-and-after previews on sample photos

  • Free plan includes unlimited 500x500 previews with Palette watermark

  • Paid credits export up to 5000x5000 pixels without the logo

  • Keyword adjustment panel fine-tunes colors after picking a filter

  • Annual subscription is $72 per year for 480 credits ($0.15 each)

  • One-time pack is $49 for 75 credits valid for 2 years

  • API and video integration options listed in the site footer

InstructPix2Pix Category

    Photo Editing

Palette.fm Category

    Photo Editing

InstructPix2Pix Pricing Type

    Free

Palette.fm Pricing Type

    Freemium

InstructPix2Pix Technologies Used

GitHub
Google Cloud
Google Analytics
Google Tag Manager
Font Awesome
jQuery

Palette.fm Technologies Used

Svelte
Cloudflare
Google Analytics
Google Tag Manager
Facebook Pixel
Google Fonts
Ruby
GitHub
Styled Components
Tailwind CSS

InstructPix2Pix Tags

Instruction Based Editing
Diffusion Model
Open Source
CVPR 2023
Hugging Face Demo
Text Guided Edits
Research Project
AI Editing

Palette.fm Tags

Photo Colorization
Black and White
Family History
Filter Presets
Keyword Editing
Vintage Photos
AI Art
AI Editing
By Rishit