Flux Pro Redux
FLUX.1 [pro] Redux is a high-performance endpoint for the FLUX.1 [pro] model that enables rapid transformation of existing images, delivering high-quality style transfers and image modifications with the core FLUX capabilities.
Features
FLUX Pro Redux is the professional-grade endpoint of the FLUX.1 [pro] architecture. It provides enhanced fidelity and control for image-to-image transformations, preserving semantic meaning and visual consistency. It’s designed for use in demanding environments where output quality must meet production standards.
Key Features
- High-Resolution Output: Generates high-quality images with stable structures suitable for production use.
- Visual Consistency: Maintains semantic integrity and visual coherence across transformations.
- Professional Workflow Integration: Tailored for integration into professional creative pipelines, supporting tasks like product design visualization and marketing asset creation.
ComfyUI
FLUX Pro Redux is also available on ComfyUI, providing local inference capabilities through a node-based workflow. This ensures flexible and efficient video generation on your system, catering to various creative workflows.
Limitations
- Resource Intensive: High-resolution processing may require substantial computational resources.
- Learning Curve: Optimal use may necessitate familiarity with image-to-image transformation workflows.
- Dependency on Input Quality: The quality of output is influenced by the quality of input images.
- Inherent Biases: Outputs may reflect biases present in the training data.
Out-of-Scope Use
The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to:
- Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content.
- Generating or disseminating verifiably false information with the intent to harm others.
- Creating or distributing personal identifiable information that could be used to harm an individual.
- Harassing, abusing, threatening, stalking, or bullying individuals or groups.
- Producing non-consensual nudity or illegal pornographic content.
- Making fully automated decisions that adversely affect an individual’s legal rights or create binding obligations.
- Facilitating large-scale disinformation campaigns.
Accelerated Inference
Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v2/wavespeed-ai/flux-pro-redux" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"image": "https://d2g64w682n9w0w.cloudfront.net/media/images/1745413935078739480_xIVRNKGD.png",
"prompt": "",
"size": "1024*1024",
"seed": 0,
"num_inference_steps": 28,
"guidance_scale": 3.5,
"num_images": 1,
"enable_safety_checker": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v2/wavespeed-ai/flux/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
image | string | Yes | https://d2g64w682n9w0w.cloudfront.net/media/images/1745413935078739480_xIVRNKGD.png | - | The URL of the image to generate an image from. |
prompt | string | No | - | - | The prompt to generate an image from. |
size | string | No | 1024*1024 | 512 ~ 1536 per dimension | The size of the generated image. |
seed | integer | No | - | -1 ~ 9999999999 | The same seed and the same prompt given to the same version of the model will output the same image every time. |
num_inference_steps | integer | No | 28 | 1 ~ 50 | The number of inference steps to perform. |
guidance_scale | number | No | 3.5 | 1 ~ 20 | The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. |
num_images | integer | No | 1 | 1 ~ 4 | The number of images to generate. |
enable_safety_checker | boolean | No | true | - | If set to true, the safety checker will be enabled. |
Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data.id | string | Unique identifier for the prediction, Task Id |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |
Result Query Parameters
Result Request Parameters
Parameter | Type | Required | Default | Description |
---|---|---|---|---|
id | string | Yes | - | Task ID |
Result Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data | object | The prediction data object containing all details |
data.id | string | Unique identifier for the prediction |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |