D
To be verifiedDeepFloyd IF is a state-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding. It is a modular composed of a frozen text encoder and three cascaded pixel diffusion modules: a base model that generates 64x64 px image based on text prompt and two super-resolution models, each designed to generate images of increasing resolution: 256x256 px and 1024x1024 px.
Open-source text-to-image model with high photorealism using cascaded diffusion.
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github.com/deep-floyd/IF
What is D?
Open-source text-to-image model with high photorealism using cascaded diffusion.
DeepFloyd IF is a state-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding. It is a modular composed of a frozen text encoder and three cascaded pixel diffusion modules: a base model that generates 64x64 px image based on text prompt and two super-resolution models, each designed to generate images of increasing resolution: 256x256 px and 1024x1024 px.
Core Features
Text-to-image generation
Cascaded pixel diffusion for high resolution
Zero-shot image-to-image translation
Super resolution
Zero-shot inpainting
Popular Use Cases
- Generating photorealistic images from text prompts
- Upscaling low-resolution images
- Performing image inpainting tasks
- Style transfer between images
Feature Comparison
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How to use
- DeepFloyd IF can be used through local notebooks
- integration with Hugging Face Diffusers
- or by running the code locally. It involves setting up the environment
- installing necessary libraries
- and loading the models into VRAM.
Pricing
D uses a freemium pricing model. Pricing and features may change over time.
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