Flux Redux Schnell
Flux Redux Schnell Model is a high-speed transformation model for efficient and precise image editing.
Official Partner
Avg Run Time: 2.000s
Model Slug: flux-redux-schnell
Category: Image to Image
Input
Enter an URL or choose a file from your computer.
Click to upload or drag and drop
image/jpeg, image/png, image/jpg, image/webp (Max 50MB)
Output
Example Result
Preview and download your result.
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Overview
Flux Redux Schnell is a versatile tool designed for generating detailed, high-quality outputs tailored to user-defined prompts and configurations. Its robust customization options allow users to produce visuals that align with their creative, professional, or exploratory needs. By adjusting various parameters, users can achieve a wide range of outputs, from abstract art to photorealistic renders.
Technical Specifications
- Advanced Customization: Offers fine control over outputs through adjustable parameters such as format, and quality.
- Image Input Support: Seamlessly process image-based inputs for enhanced usability.
- High-Resolution Outputs: Supports outputs at varying megapixel levels for diverse requirements.
Key Considerations
- Processing Time: Increasing num_inference_steps or output_quality will extend the generation time.
- Input Compatibility: Ensure the redux_image matches the intended style of the output.
- Safety Settings: Keep the safety checker enabled unless you are familiar with the input data and output requirements.
- Parameter Interactions: Test different combinations of aspect_ratio, megapixels, and output_quality to find the ideal configuration.
Legal Information
By using this model, you agree to:
- Black Forest Labs API agreement
- Black Forest Labs Terms of Service
Tips & Tricks
- Optimize Resolution: Start with medium megapixel for drafts, and switch to high resolution for final outputs.
- Blend Inputs: Combine a redux_image with a descriptive prompt for unique results.
- Aspect Ratio Framing: Choose an aspect ratio that complements the subject. For example, use 4:5 for portraits and 16:9 for cinematic scenes.
- Seed Experimentation: Adjust the seed value to explore creative possibilities, and lock it once satisfied.
- Prompt Crafting: Use descriptive and precise prompts to guide the model effectively. Combining visual and contextual details enhances output accuracy.
- Inference Steps: Increase num_inference_steps for more detailed and refined outputs, but note the trade-off with processing time.
- Output Quality: Adjust output_quality based on the use case. Higher quality is suited for final renders, while medium quality is optimal for drafts.
- Safety Checker: Disable the safety_checker only if you are confident about the safety of the input data.
Capabilities
- Generates outputs from textual, visual, or combined inputs.
- Supports a wide range of resolutions and aspect ratios.
- Flexible configurations for diverse artistic and professional use cases.
What Can I Use It For?
- Creative Projects: Concept art, digital illustrations, and visual storytelling.
- Professional Applications: Branding, marketing visuals, and mockups.
- Exploration and Prototyping: Experiment with ideas and refine designs.
Things to Be Aware Of
- Style Fusion: Input a redux_image and a contrasting prompt to blend styles.
- Resolution Scaling: Generate low-resolution drafts and upscale the best ones.
- Seed Consistency: Lock the seed to refine a specific output across iterations.
- Custom Aspect Ratios: Experiment with unique ratios to fit specific projects, like banners or profile images.
Limitations
- Abstract Prompts: The model may struggle with overly complex or vague prompts.
- High Parameters: Extreme values for num_inference_steps can result in slower processing times.
- Safety Checker: Disabling the checker may increase the risk of unintended outputs.
Output Format:WEBP,JPG,PNG
Pricing Detail
This model runs at a cost of $0.003000 per execution.
Pricing Type: Fixed
The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.
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