1 model · image
Higgsfield Soul API
Higgsfield Soul is an AI image model made by Higgsfield. varg runs it on one API key as Soul. It covers text to image; it returns images.
- Price
- From $0.05 per run
- Made by
- Higgsfield
- Flagship id
soul
Soul runs on one varg API key and one credit balance, the same as every other model here. You pay the provider's price, with no markup.
curl -X POST https://api.varg.ai/v2/tools/image/call \
-H "Authorization: Bearer $VARG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "soul",
"prompt": "young woman, casual outfit, warm smile, phone selfie"
}'Higgsfield Soul models and prices
Higgsfield Soul on varg starts from $0.05 per run (Soul). Prices are in US dollars and are the provider's own, with no markup. A "from" price is the cheapest request the catalog states for that model; each model's page has every rate and input. The descriptions are the catalog's own, shortened.
| Model | Catalog description | Takes | Price | Typical time |
|---|---|---|---|---|
Soulsoul | Higgsfield Soul. 100+ character styles. Perfect for UGC creators. | Text to image | From $0.05 per run$0.05/image | ~60 s |
Call the Higgsfield Soul API
The call below runs Soul.
REST
POST https://api.varg.ai/v2/tools/image/call with Authorization: Bearer $VARG_API_KEY. It answers 202 with a job right away; poll GET /v2/jobs/{id} until its status is completed, then read output.outputs[0].url.
curl -X POST https://api.varg.ai/v2/tools/image/call \
-H "Authorization: Bearer $VARG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "soul",
"prompt": "young woman, casual outfit, warm smile, phone selfie"
}'From Claude, ChatGPT or Cursor (MCP)
The varg MCP server, https://mcp.varg.ai/mcp, runs Soul with call_tool. Sign in with varg, no API key to paste. How to connect it
claude mcp add --transport http varg https://mcp.varg.ai/mcp{
"tool": "image",
"input": {
"model": "soul",
"prompt": "young woman, casual outfit, warm smile, phone selfie"
},
"wait": true
}From a terminal (CLI)
vargai is the varg command line: every tool of the MCP server is a command. Install and log in
curl -fsSL https://varg.ai/install | sh
vargai call_tool --tool image '{"model":"soul","prompt":"young woman, casual outfit, warm smile, phone selfie"}'How billing works
Every model is billed at its provider's price with no markup, from one credit balance: 1 credit is $0.01. varg's fee is on the top-up, not on the run: 5.5% of the credits you buy ($0.80 at the least), or 8% for a team workspace. Pricing
How to use Higgsfield Soul
Step-by-step pages on varg how to.
Higgsfield Soul API: questions
- How much does the Higgsfield Soul API cost on varg?
- Soul costs from $0.05 per run on varg ($0.05/image on the cheapest route). Every model is billed at its provider's price with no markup, from one credit balance: 1 credit is $0.01. For the exact price of a request before you run it, send the same body to POST https://api.varg.ai/v2/estimate.
- How long do Soul requests take?
- Typically about 60 s, by the catalog's estimate for its fastest route. The API answers at once with a job id, so nothing waits on an open connection while it runs.
- How do I call the Higgsfield Soul API?
- Send POST https://api.varg.ai/v2/tools/image/call with the header "Authorization: Bearer $VARG_API_KEY" and a JSON body that includes "model", for example "model": "soul". The call answers 202 with a job right away. Poll GET https://api.varg.ai/v2/jobs/{id} until "status" is "completed", then read output.outputs[0].url, or pass options.webhook_url to be called back.
- Can I use Higgsfield Soul from Claude, ChatGPT or Cursor?
- Yes. Add the varg MCP server (https://mcp.varg.ai/mcp) to Claude, ChatGPT, Cursor or any other MCP client and sign in with varg, with no API key to paste. The agent runs a model with call_tool, passing tool "image" and the model id, for example "model": "soul".
More model APIs
Same API key, same request shape: change the model string to switch.
For AI agents: each model above has its full spec as Markdown at varg.ai/models/soul.md (swap the id), and every model is listed in varg.ai/models/llms.txt.