stable-diffusion-webui-wildcards
stable-diffusion-webui
stable-diffusion-webui-wildcards | stable-diffusion-webui | |
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20 | 2,808 | |
409 | 132,888 | |
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2.2 | 9.9 | |
2 months ago | 5 days ago | |
Python | Python | |
- | MIT |
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stable-diffusion-webui-wildcards
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ComfiUI agents for automated promting, Art Direction, Critic, etc,
for prompter you probably want to somehow implement https://github.com/AUTOMATIC1111/stable-diffusion-webui-wildcards and maybe have an LLM have a prompt to auto fill a bunch of them with some randomness, probably some kind of procedural formula like "_subject_ _action_ _object_ in _place_ in _style_" or something similar, and then have it do mad libs basically, then write it to a text file or something then have that text file populate the wildcards. Could probably just write a script to scrape a bunch of prompts from images on civitai too.
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Need help with ideas
First step: install the dynamic prompt extension (you may like some of its extra features as they fall directly in the type of work you are doing) or the barebones Wildcard extension that was initially released by A1111 himself.
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Dnyamic Prompts: Wildcard File categories, subcategories, folders?
I disabled dynamic prompts and installed the stable-diffusion-webui-wildcards extension-- which I used to use before dynamic prompts added wildcards to their functions. I'm much happier with it. I wasn't using any of the other dynamic prompts capabilities anyway.
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New Python Script for randomizing prompts, with hundreds of variables
I mean, "for ages", we have already the wildcards extension (https://github.com/AUTOMATIC1111/stable-diffusion-webui-wildcards) together with the dynamic prompts (https://github.com/adieyal/sd-dynamic-prompts) and I wanted to know, what's the difference to your script, respectively, what does your script different/better than those extensions?
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Most useful extensions for beginners, except ControlNet
Not quite for beginners but maybe, depends on how deep you wanna dive, regional prompter is worth a shot. I still have a problem understanding how setting the regions works because i am a simple man, but i did manage to set up some simple stuff and make it work. What it does is it separates your output in rectangles based on proportion (like horizontal 1,1 will split your output horizontally in halves and you can specify different prompts for each half; 1,1,1 will split it in 3 equal parts, and 1,2,1 will split 25%, 50%, 25% and so on; you can split horizontally and vertically at the same time and it can get as complex as you want or your poor pure soul can endure). But there's a tutorial now, I need to look into that more and make sense out of it. You can find it here Zoom canvas is nice, a bit finnicky but definitely useful. Tiled VAE seems to kinda work a bit, I seem to be able to do hires fix 2x on my 6gb 1660 ti card, but when using controlnet it kinda caps it to 1.2x or so, need to experiment more. It should be able to split your renders into tiles and work on them individually thus reducing the use of your vram, something like that. For wildcarding i use thi simple extension here, i just use chatgpt to generate me lists of words (locations, hairstyles, outfits, nationalities etc.), paste them into txt files and promp them as location if the text file is named location.txt and SD will randomly use them as tokens. I know there's dynamic prompting but i didn't get the time to look into that yet. Multi diffusion and composable lora are some others you can look up to, they seem to work nice with the regional prompter. Composable lora should make you able to use multiple loras on different regions of your output (like, an anime Ghibli character and a realistic Gal Gadot character on an oil painted background. Wow it took me half an hour to type this on my phone, hope it helps 😅
- Using random unrelated words as prompt
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Civitai question, what the hell are wildcards?
Probably related to this. https://github.com/AUTOMATIC1111/stable-diffusion-webui-wildcards
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Prompts to generate large variety of clothing?
You are looking for Dynamic Prompts in use with Wildcards.
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How do I vary images in a batch run
Check out the stable-diffusion-webui-wildcards extension for A1111 webui.
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How to combine prompt from file or textbox script and the normal prompt?
I guess Wildcards or Dynamic Prompts might be what you want.
stable-diffusion-webui
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Show HN: I made an app to use local AI as daily driver
* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.
But again, it would be nice to have first class support to locally participate in the fun.
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Ask HN: What is the state of the art in AI photo enhancement?
In Auto1111, that just uses Image.blend. :)
https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...
- How To Increase Performance Time on MacOS
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Can anyone suggest an AI model that can help me enhance a poorly drawn logo?
I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.
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Seeking out an experienced and empathetic coding buddy.
That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.
- can't get it working with an AMD gpu
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SD extension that allows for setting override
Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094
- Need to write an application to use Stable Diffusion on my desktop PC - which resource should I learn to use?
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4090 Speed Decrease on each Generation/Iteration
version: v1.6.1  •  python: 3.10.13  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2  •  checkpoint: 6e8d4871f8
What are some alternatives?
sd-dynamic-prompts - A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
canvas-zoom - zoom and pan functionality
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
stable-diffusion-webui-Prompt_Generator - An extension to AUTOMATIC1111 WebUI for stable diffusion which adds a prompt generator
SHARK - SHARK - High Performance Machine Learning Distribution
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
StableDiffusion - Sd repo
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
batchlinks-webui - Download several Huggingface, MEGA, and CivitAI links at once. SD webui extension. For colab.
safetensors - Simple, safe way to store and distribute tensors