Inference Logoinference.sh
apps/reve/remix

remix

Reve Remix — Create images from text and 1-6 reference images combined.

run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# view schema & details
$belt app get reve/remix
# run
$belt app run reve/remix

api reference

about

reve remix — create images from text and 1-6 reference images combined.

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash
1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash
1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python
1from inferencesh import inference23client = inference()456result = client.run({7        "app": "reve/remix",8        "input": {}9    })1011print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python
1from inferencesh import inference23client = inference()456# stream=True yields updates as they arrive7for update in client.run({8        "app": "reve/remix",9        "input": {}10    }, stream=True):11    if update.get("progress"):12        print(f"progress: {update['progress']}%")13    if update.get("output"):14        print(f"output: {update['output']}")

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python
1# local file paths are automatically uploaded2result = client.run({3    "app": "reve/remix",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

you can also upload files manually and use the returned url.

python
1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

python
1result = client.run({2    "app": "reve/remix",3    "input": {},4    "webhook": "https://your-server.com/webhook"5}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json
1{2  "id": "task_abc123",3  "status": 9,4  "output": { ... },5  "error": "",6  "session_id": null,7  "created_at": "2024-01-15T10:30:00Z",8  "updated_at": "2024-01-15T10:30:05Z"9}
idstringtask id
statusnumberterminal status (9=completed, 10=failed, 11=cancelled)
outputobjecttask output (when completed)
errorstringerror message (when failed)
session_idstringsession id (if using sessions)
created_atstringiso timestamp
updated_atstringiso timestamp

5. schema

input

imagesarray*

reference images to remix (1-6). reference them in the prompt as '0', '1', etc.

promptstring*

describe how to combine the references (e.g. 'the woman from 0 driving the car from 1').

maxLength:2560
aspect_ratiostring

output aspect ratio. if not set, chosen by the model.

options:"16:9""9:16""3:2""2:3""4:3""3:4""1:1"
versionstring

model version (e.g. 'latest' or 'reve-remix@20250915').

default: "latest"
test_time_scalinginteger

spend more time for better quality (1-5). values above 1 cost additional credits.

min:1max:5
upscale_factorinteger

upscale output by 2x, 3x, or 4x.

min:2max:4
remove_backgroundboolean

make background transparent.

default: false

output

imagestring(file)*

remixed image.

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