API reference · BFL

bfl/flux-2/klein/realtime

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDbfl/flux-2/klein/realtime

Input Schema

8 parameters · 2 required · 6 optional

Parameter	Type	Required	Description
`image`	string	Required	Base64-encoded image data URI for editing. CDN URLs are not supported for realtime. For optimal performance, use 704x704 JPEG images with 50% quality. Other sizes will be resized automatically.
`prompt`	string	Required	The prompt to guide image editing. · Default: "Turn this into \"Living oil painting, melting gold and sapphire\""
`seed`	integer	Optional	Random seed for reproducibility. · Default: 35
`schedule_mu`	number	Optional	Schedule mu for time shift. 2.3=default, lower=more even denoising, 0.3=nearly linear. · Min: 0.3 · Max: 2.5 · Default: 2.3
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16
`num_inference_steps`	integer	Optional	Min: 1 · Max: 8 · Default: 3
`enable_interpolation`	boolean	Optional	Enable RIFE frame interpolation between consecutive frames (doubles output frames). · Default: false
`output_feedback_strength`	number	Optional	Output feedback loop. 1.0 = pure noise (no feedback), 0.9 = 90% noise + 10% previous output latent. · Min: 0 · Max: 1 · Default: 1

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "bfl/flux-2/klein/realtime",
  "seed": 35,
  "prompt": "Turn this into a watercolor painting",
  "schedule_mu": 2.3,
  "num_inference_steps": 3,
  "enable_interpolation": false,
  "output_feedback_strength": 1
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

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