stable-diffusion-webui-daam
sd-webui-segment-anything
stable-diffusion-webui-daam | sd-webui-segment-anything | |
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4 | 17 | |
50 | 3,224 | |
- | - | |
10.0 | 6.3 | |
about 1 year ago | 21 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
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stable-diffusion-webui-daam
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Looking for a prompt weight extension
You are probably looking for stable-diffusion-webui-daam extension https://github.com/toriato/stable-diffusion-webui-daam
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What's your favorite small tweaks to make? I'll go first
I can also offer an interesting plugin for analyzing the resulting image - Attention Heatmap
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Become A Stable Diffusion Prompt Master By Using DAAM - Attention Heatmap For Each Used Token - Word - “How does an input word influence parts of a generated image?
nope video recorded yesterday night. which extension you installed? the one coming from general link not working. the working one is : https://github.com/toriato/stable-diffusion-webui-daam
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Analyzing Impact of Prompt
Like this one: https://github.com/toriato/stable-diffusion-webui-daam
sd-webui-segment-anything
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Textual inversion. The best way to prepare photos of a person?
One idea would be to use Segment Anything to cut out the character/face from the background and then replace with random backgrounds that you generate with stable diffusion. Here's an extension for Automatic1111 :) https://github.com/continue-revolution/sd-webui-segment-anything
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How hard is it to "code" a tool based on segment-anything and Stable diffusion ?
Checkout this code https://github.com/continue-revolution/sd-webui-segment-anything
- Can I use Interrogate CLIP or something similar to get image position data?
- Best way to mask images automatically?
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Information is currently available.
Segment anything is the extension that you're looking for.
- What's your favorite small tweaks to make? I'll go first
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Show HN: Image background removal without annoying subscriptions
If anyone is already running auto1111, or simply uninterested in paying, there's an addon that does this very well available here https://github.com/KutsuyaYuki/ABG_extension, additionally I've had very good results using the masks generated by Facebook's SAM, which is also available as an addon here https://github.com/continue-revolution/sd-webui-segment-anyt...
- The main reason why people will keep using open source vs Photoshop and other big-tech generative AIs
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Stable Diffusion + Segment Anything App and Tutorial
There’s an A111 extension already that I think does the same thing (I’ve had it installed for a few weeks now). https://github.com/continue-revolution/sd-webui-segment-anything
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YourVision: Stable Diffusion + Segment Anything
use this and inpainting https://github.com/continue-revolution/sd-webui-segment-anything
What are some alternatives?
sd-dynamic-thresholding - Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (StableSwarmUI, ComfyUI, and Auto WebUI)
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
stable-diffusion-webui-daam - DAAM for Stable Diffusion Web UI
stable-diffusion-webui-rembg - Removes backgrounds from pictures. Extension for 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-webui-amdgpu - Stable Diffusion web UI
stable-diffusion-webui-state - Stable Diffusion extension that preserves ui state
ddetailer
Lora-for-Diffusers - The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
sd-webui-neutral-prompt - Collision-free AND keywords for a1111 webui!
Auto-Photoshop-StableDiffusion-Plugin - A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using either Automatic or ComfyUI as a backend.