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Training-free Regional Prompting for Diffusion Transformers Training-free Regional Prompting for Diffusion Transformers (Regional-Prompting-FLUX) enables Diffusion Transformers (i e , FLUX) with find-grained compositional text-to-image generation capability in a training-free manner
hako-mikan sd-webui-regional-prompter - GitHub The mask is saved in the extension directory, under the folder regional_masks, as {preset} png file Masks can be uploaded from any image by using the empty component labelled upload mask here
jessearodriguez sd-forge-regional-prompter - GitHub This is an attempt to port over the regional prompting webui extension over to forge At the moment, only attention mode is usable In addition, I have only tested sdxl models, please be aware that there is likely to be issues with other formats
OneForecast: A Universal Framework for Global and Regional . . . - GitHub For high-resolution regional forecasts, we propose a neural nested grid method to mitigate boundary information loss Experimental results show that OneForecast performs excellently across global to regional scales and short-term to long-term forecasts, especially in extreme event predictions
sd-webui-regional-prompter differential_en. md at main - GitHub This script is an auxiliary script for the Regional Prompter and operates as a custom script (similar to XYZ plot) for the Stable Diffusion web UI With this script, you can create differential images and generate consistent animations using the region specification of the Regional Prompter's prompt
GitHub - epri-dev US-REGEN: Open-Source U. S. Regional Economy . . . This GitHub repository contains code to run EPRI's U S Regional Economy, Greenhouse Gas, and Energy (US-REGEN) US-REGEN is an energy-economy model developed and maintained by EPRI's Energy System and Climate Analysis (ESCA) group