Image to Become
Adapt any picture of a face into another image
Avg Run Time: 17.000s
Model Slug: become-image
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)
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
The Image to Become model is designed to transform a given facial image into another specified image, guided by user-defined prompts and parameters. This model enables users to creatively reimagine portraits by applying various styles and transformations
Technical Specifications
Model Architecture: Uses a deep learning framework specialized in image transformation and facial adaptation.
Processing Mechanism: Combines diffusion-based techniques with control mechanisms for fine-grained image adjustments.
Training Data: Trained on a diverse dataset of human faces, ensuring adaptability across various styles and transformations.
Output Quality: Generates high-resolution images with controlled noise reduction and prompt-based modifications.
Control Features: Allows precise tuning of transformation intensity through multiple strength parameters.
Safety Measures: Includes an optional safety checker to filter out inappropriate or unintended results.
Key Considerations
Image Quality: High-resolution images yield better transformation results.
Prompt Clarity: Clear and specific prompts guide the Image to Become more effectively.
Parameter Tuning: Experiment with different parameter settings to achieve desired outcomes.
Safety Checker: Disabling the safety checker may result in inappropriate content; proceed with caution.
Tips & Tricks
Denoising Strength (0-1):
- Lower values retain more details from the original image.
- Higher values apply more significant transformations.
Prompt Strength (0-3):
- Increase to enhance the influence of the textual prompt on the transformation.
Control Depth Strength (0-1):
- Adjust to control the depth effect in the transformed image.
Instant ID Strength (0-1):
- Modify to balance the prominence of the subject's identity in the output.
Image to Become Strength (0-1):
- Set higher values to closely match the target image's features.
Image to Become Noise (0-1):
- Increase to introduce artistic noise effects into the transformation.
Capabilities
Image to Become transforms facial images into various artistic styles based on user prompts.
Image to Become generates multiple variations of transformed images.
Incorporate user-defined parameters to fine-tune the transformation process.
What Can I Use It For?
Creating stylized portraits for artistic projects.
Generating unique avatars for social media profiles.
Exploring creative transformations of facial images for design purposes.
Things to Be Aware Of
Experiment with Prompts for Image to Become: Use diverse and imaginative prompts to explore various transformation styles.
Adjust Parameters: Fine-tune parameters like denoising strength and prompt strength to achieve desired effects.
Combine with Other Models: Integrate outputs with other models or editing tools to enhance creativity.
Safety Checker: Use the safety checker to ensure appropriate content generation.
Limitations
Input Dependency: The quality of the output is highly dependent on the input image and prompt clarity.
Overfitting: Extreme parameter values may lead to overfitting, resulting in less natural images.
Safety: Disabling the safety checker can lead to the generation of inappropriate content.
Output Format: PNG
Pricing Detail
This model runs at a cost of $0.001080 per second.
The average execution time is 17 seconds, but this may vary depending on your input data.
The average cost per run is $0.018360
Pricing Type: Execution Time
Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.
Related AI Models
You can seamlessly integrate advanced AI capabilities into your applications without the hassle of managing complex infrastructure.
Seedream V4 Edit is an advanced image editing model that enables realistic, high-quality modifications such as background changes, object addition, or removal.
FLUX.1 SRPO Image-to-Image [dev] is a 12 billion parameter flow transformer fine-tuned to transform input images into enhanced outputs with superior realism and aesthetics. It preserves the core content of the original image while improving details, lighting, and overall visual quality.
FLUX Krea LoRA Image-to-Image enables quick, precise image modifications and style variations with LoRA support.
Kling Kolors Virtual TryOn v1.5 delivers high-quality image-based try-on results.
