Higgsfield
AI image and video studio with an API and an MCP server
One subscription that covers most of the image and video models I would otherwise juggle, at the cost of a credit meter you have to watch.
Pros
- Many image and video models behind one account and one API
- The MCP server lets a coding agent generate assets mid-task
- Product shot presets get a clean packshot into a scene in one step
- Short clips from a still image are good enough for an ad test
Cons
- Credits per generation vary by model and the meter empties faster than you expect
- Pricing and plan names change often; the page you read last month is stale
- Output still needs a human pass for hands, labels and text
- Video longer than a few seconds drifts
Best forPeople who need many product shots and short clips for testing and want them from a script, not a canvas.
Higgsfield is a studio for generated images and video: a web app with presets, an API behind it, and an MCP server so a coding agent can call it directly. It aggregates several image and video models under one subscription, which is the main reason I use it rather than three separate accounts.
How I use it
Product shots, scene backgrounds and short clips for ad tests. The common case: I have a clean cutout of a product and need it on a bathroom shelf, on a kitchen table, in a hand, in ten variations, by this afternoon. The product shot presets do that in one step and the result is usable most of the time. The second case is motion: take a still that worked and make a three-second clip of it for a video placement. The MCP server is what makes this scriptable; the agent I write code with can ask for an image in the middle of building a page and drop the file into the repo.
What surprised me is the breadth. New models appear in the catalogue within weeks of release, and I do not have to sign up anywhere else to try them. What annoys me is the credit meter. Each model costs a different number of credits per generation, a video run costs a multiple of an image run, and a batch that looked cheap on paper empties the month in an afternoon. The plan names and prices have also changed more than once this year, which is why I will not quote a figure here. And the output still needs a human eye: hands, text on labels and small print are where the models still fail, and a product label that is slightly wrong is worse than no image.
Who it is for
Anyone producing many test visuals who values speed over control. If you need exact control over every pixel, a node-based tool on your own hardware is the better fit and costs nothing per image. Skip it if you make a handful of images a month; the subscription does not pay back at that volume.



