stable-diffusion-loopback-color-correction-script
stable-diffusion-webui
stable-diffusion-loopback-color-correction-script | stable-diffusion-webui | |
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6 | 2,808 | |
28 | 131,658 | |
- | - | |
10.0 | 9.9 | |
over 1 year ago | about 12 hours ago | |
Python | Python | |
MIT License | MIT |
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stable-diffusion-loopback-color-correction-script
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Loopback makes pictures lose contrast a lot
Hi, I have a problem with loopback that I struggle with for few days and I fail to fix it. When I use loopback, even just 5 steps, the pictures have progressively lower contrast until they are just pure gray. I have tried turning on/off the color correction in settings, I have tried this https://github.com/rewbs/stable-diffusion-loopback-color-correction-script script for color correction, I have tried using inpainting instead but nothing seems to help. Do you have any idea what may cause this, how to fix this? The weird thing is that when it generates, when I see the how it generated it looks fine but at the moment it saves it just loses contrast and changes. I am using the v4.5 model and DPM++ SDE sampling.
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Black Muddy River by the Grateful Dead (a stable diffusion music video)
This video is the first thing I made that I wanted to share with more than just my family. I made most of it from the lyrics at 50 frames per verse. I interpolated from one verse to the next: “current_verse:1.0 AND next_verse:0.0” in 50 steps to “current_verse:0.0 AND next_verse:1.0” using a custom script I wrote for the automatic1111 repo. I started from the loopback color correction script (no longer needed! hurray for VAE!) and added code to allow an eight-parameter “move” that repositions each corner of the next image. It also interpolates between an initial move and an end move, so that the transitions are smooth.
- Stable Diffusion links from around October 5, 2022 that I collected for further processing
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Good news: VAE prevents the loopback magenta skew!
Historically, loopbacks have suffered from a major colour skew problem, resulting in most UIs providing some kind of colour correction post processing step as an option. You can see some examples of the problem and workaround here. This didn't go away with the 1.5 model.
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Experimenting with video, feedback would be great
As an aside, looks like this video is hitting the magenta/cyan skew issue that emerges when you do loopbacks with certain params. You could look into colour correction techniques to avoid this. See https://github.com/rewbs/stable-diffusion-loopback-color-correction-script for more info.
- User script to provide advanced colour correction options for img2img loopback for AUTOMATIC1111/stable-diffusion-webui
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?
dreambooth-docker
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]
sd-parseq - Parameter sequencer for Stable Diffusion
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
AI-Horde - A crowdsourced distributed cluster for AI art and text generation
SHARK - SHARK - High Performance Machine Learning Distribution
Stable-diffusion-webui-video
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
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.
safetensors - Simple, safe way to store and distribute tensors
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
sd-webui-additional-networks