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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

DiffusionBee is an incredibly user-friendly application that allows you to create AI-generated artwork on your computer utilizing Stable Diffusion technology, and it's completely free to use. This platform combines all the latest Stable Diffusion features into a single, intuitive interface. You can easily produce images from text prompts, generate visuals in various artistic styles, or alter existing pictures using descriptive prompts. Additionally, it enables the creation of new images from a base picture and allows for the addition or removal of elements in designated areas through text commands. You can also expand images outward based on your instructions, select specific regions on the canvas to introduce new objects, and leverage AI to enhance the resolution of your creations automatically. Furthermore, you can utilize external Stable Diffusion models that have been trained on particular styles or subjects through DreamBooth. For more experienced users, advanced options such as negative prompts and diffusion steps are available. Importantly, all processing occurs locally on your machine, ensuring privacy as nothing is uploaded to the cloud. Plus, there is a vibrant Discord community where users can seek assistance and share ideas. This supportive network further enriches the experience of utilizing DiffusionBee.

Description

Karlo serves as an innovative model designed to create images from textual descriptions. It enhances the impressive unCLIP architecture developed by OpenAI by improving the conventional super-resolution model, enabling it to capture complex details at an impressive resolution of 256px, while effectively reducing noise through a limited number of denoising iterations. In developing Karlo, we undertook a comprehensive training regimen that began from the ground up, leveraging a substantial dataset of 115 million image-text pairs, which included COYO-100M, CC3M, and CC12M. For the Prior and Decoder sections, we utilized the advanced ViT-L/14 text encoder sourced from OpenAI's CLIP library. To boost performance, we implemented a notable alteration to the original unCLIP design; rather than using a trainable transformer in the decoder, we opted to incorporate the text encoder from ViT-L/14, thereby enhancing the model's capability. This strategic choice not only streamlined the architecture but also contributed to improved image quality and fidelity.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

B^ DISCOVER No 
B^ EDIT No 
Stable Diffusion Yes 

Integrations

B^ DISCOVER Yes 
B^ EDIT Yes 
Stable Diffusion No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DiffusionBee

Website

diffusionbee.com

Vendor Details

Company Name

Kakao Brain

Founded

2017

Country

South Korea

Website

github.com/kakaobrain/karlo

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