sd-webui-prompt-all-in-one
sd-webui-prompt-format
sd-webui-prompt-all-in-one | sd-webui-prompt-format | |
---|---|---|
2 | 2 | |
2,588 | 66 | |
- | - | |
9.0 | 6.1 | |
5 days ago | 2 months ago | |
Python | JavaScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sd-webui-prompt-all-in-one
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What's your favorite small tweaks to make? I'll go first
Prompt All-In-One makes this easier
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A Rank of Stable Diffusion WebUI Extension Popularity - Total Github stars, and the speed of gaining stars
The https://github.com/Physton/sd-webui-prompt-all-in-one extensions seems a bit fishy, or it is just me?
sd-webui-prompt-format
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What's your favorite small tweaks to make? I'll go first
Shameless Self Promotion: I just can’t go on without this Extension nowadays. Seeing inconsistent spaces just drives me nuts.
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Simple Extension that Helps Formatting Prompts
Link: GitHub
What are some alternatives?
stable-diffusion-webui-anti-burn - Extension for AUTOMATIC1111/stable-diffusion-webui for smoothing generated images by skipping a few very last steps and averaging together some images before them.
stable-diffusion-webui-state - Stable Diffusion extension that preserves ui state
sd_webui_SAG
sd-dynamic-thresholding - Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (StableSwarmUI, ComfyUI, and Auto WebUI)
stable-diffusion-webui-sonar - Wrapped k-diffuison samplers with tricks to improve the generated image quality (maybe?), extension script for AUTOMATIC1111/stable-diffusion-webui
stable-diffusion-NPW - Negative Prompt Weight: Extension for Stable Diffusion Web UI
sd-webui-neutral-prompt - Collision-free AND keywords for a1111 webui!
adetailer - Auto detecting, masking and inpainting with detection model.