SOUL is a realistic image-to-image engine for sophisticated visuals that, with Soul ID, preserves character consistency across scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Siap

$0.09per run·~11 / $1

Harsh flash, timestamp corner, and raw textures. Feels like 2007 captured forever

Echoed figures, mirrored forms, or repeated poses-surreal symmetry that bends perception

Exaggerated depth and playful proportions. Face or object up close, background stretched to infinity

subway

Make the person with Carema become a giant person
Higgsfield SOUL Image-to-Image is a high-quality image transformation model built for realism, tasteful aesthetics, and strong character consistency. It is designed for reference-driven image editing workflows where you want to restyle, reframe, or evolve a subject while preserving identity, structure, and visual coherence.
Elegant realism Produce believable lighting, natural skin and hair, and clean material rendering without an over-processed look.
Strong character consistency Keep the same identity across different scenes, poses, outfits, and lighting conditions.
Faithful image-to-image editing Preserve core composition and structure while changing styling, color, mood, wardrobe, or background.
Art-direction friendly Respond well to cinematic language such as lens cues, depth of field, rim light, palette direction, and grading intent.
Wide stylistic range Move between photoreal, editorial, painterly, or graphic looks without heavy prompt engineering.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Reference image used as the source for the transformation. |
| prompt | Yes | Text instruction describing the desired transformation, style, setting, mood, or visual direction. |
| soul_id | No | Optional Soul ID used to preserve identity consistency across multiple generations. |
| quality | No | Output quality tier. Supported values: medium, high. |
| aspect_ratio | No | Output aspect ratio for the generated image. |
| strength | No | Controls how closely the result follows the source image versus allowing freer restyling. |
medium for lower cost or high for stronger final quality.Turn this portrait into a cinematic editorial fashion shot at golden hour, soft rim light, clean skin texture, natural color grading, luxury wardrobe styling, realistic background depth
Pricing depends on the selected quality tier.
| Quality | Price per Image |
|---|---|
| Medium | $0.09 |
| High | $0.19 |
medium costs $0.09 per imagehigh costs $0.19 per imagesoul_id when building a sequence or visual set around the same subject.strength when structure fidelity matters more than style variation.high quality for final selects and medium when exploring directions more quickly.soul_id can improve continuity across generations.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/higgsfield/soul/image-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Soul Image To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/higgsfield/soul/image-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"size": "1152*2048",
"style": "Creatures",
"strength": 1,
"quality": "medium",
"seed": 0
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("higgsfield/soul/image-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"size": "1152*2048",
"style": "Creatures",
"strength": 1,
"quality": "medium",
"seed": 0
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"higgsfield/soul/image-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"size": "1152*2048",
"style": "Creatures",
"strength": 1,
"quality": "medium",
"seed": 0
}
)
print(output["outputs"][0]) # → URL of the generated outputSoul Image To Image is a Higgsfield model for image editing, exposed as a REST API on WaveSpeedAI. SOUL is a realistic image-to-image engine for sophisticated visuals that, with Soul ID, preserves character consistency across scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/higgsfield/higgsfield-soul-image-to-image.
Soul Image To Image starts at $0.090 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `size`, `seed`, `quality`, `strength`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/higgsfield/higgsfield-soul-image-to-image.
Average end-to-end generation time on WaveSpeedAI is around 32 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Higgsfield). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.