Blind Image Restoration with Instant Generative Reference
Chat with an AI that understands text and images
High quality Images in Realtime
eBOOK Cover generation
The most opinionated, anime-themed SDXL model
FLUX 4-bit Quantization(just 8GB VRAM)
Generate images from text prompts
Wearable sensors TS generation
FLUX.1 RealismLora
Canny Edges FLUX.1 control
Highly hackable hub w/ Flux, SD 3.5, LoRAs, no GPUs required
Generate images from text prompts
Nvidia Sana
InstantIR is a cutting-edge blind image restoration tool designed to restore and enhance images using advanced generative models. It leverages text prompts to guide the restoration process, making it both intuitive and powerful. Whether you're dealing with old, degraded photos or low-quality images, InstantIR helps you bring them back to life with remarkable detail and clarity.
• Text-Prompt Based Restoration: Use text prompts to guide the restoration process and achieve desired results. • Blind Image Restoration: Works without requiring a reference image, making it ideal for damaged or degraded photos. • Advanced Noise Reduction: Effectively removes noise and artifacts while preserving image details. • Color Restoration: Automatically restores and enhances colors in faded or grayscale images. • Customizable Settings: Fine-tune parameters to tailor the restoration process to your needs. • Integration with Generative Models: Leverages state-of-the-art generative models for superior image reconstruction.
What makes InstantIR different from other image restoration tools?
InstantIR stands out by using text prompts to guide the restoration process, allowing for more precise and customized results. It also works without requiring a reference image, making it ideal for damaged or degraded photos.
Do I need prior technical knowledge to use InstantIR?
No, InstantIR is designed to be user-friendly. You can use text prompts and adjust basic settings without needing advanced technical skills.
What file formats does InstantIR support?
InstantIR supports common image formats like JPEG, PNG, BMP, and TIFF, making it versatile for most use cases.