clip guided diffusion

We have hosted the application clip guided diffusion in order to run this application in our online workstations with Wine or directly.

Quick description about clip guided diffusion:

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI. Text to image generation (multiple prompts with weights). Non-square Generations (experimental) Generate portrait or landscape images by specifying a number to offset the width and/or height. Uses fewer timesteps over the same diffusion schedule. Sacrifices accuracy/alignment for quicker runtime. options: - 25, 50, 150, 250, 500, 1000, ddim25,ddim50,ddim150, ddim250,ddim500,ddim1000 (default: 1000) Prepending a number with ddim will use the ddim scheduler. e.g. ddim25 will use the 25 timstep ddim scheduler. This method may be better at shorter timestep_respacing values. Multiple prompts can be specified with the | character. You may optionally specify a weight for each prompt.

Features:

• Text to image generation
• Text to image generation (multiple prompts with weights)
• Iterations/Steps (Timestep Respacing)
• Blend an image with the diffusion for a number of steps
• Non-square Generations (experimental) Generate portrait or landscape images by specifying a number to offset the width and/or height
• Some tests require a GPU

Programming Language: Python.
Categories: