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Sd-dynamic-thresholding Alternatives
Similar projects and alternatives to sd-dynamic-thresholding
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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automatic
SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
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sd-dynamic-prompts
A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation
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MultiDiffusion
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
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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.
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stable-diffusion-webui-embedding-merge
Extension for AUTOMATIC1111/stable-diffusion-webui for creating and merging Textual Inversion embeddings at runtime from string literals.
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Stable-Diffusion
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney (by FurkanGozukara)
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multidiffusion-upscaler-for-automatic1111
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
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mixture-of-diffusers
Mixture of Diffusers for scene composition and high resolution image generation
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better sd-dynamic-thresholding alternative or higher similarity.
sd-dynamic-thresholding reviews and mentions
Posts with mentions or reviews of sd-dynamic-thresholding.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-23.
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ZeroDiffusion -- a clean zero terminal SNR training 1.5 base model + experimental inpainting model
For outputs to look right, you will need some form of CFG rescale or dynamic thresholding in order to correct for overexposure (A1111 extensions are linked -- I am told that ComfyUI has nodes available for these functions). A good starting point for CFG rescale is 0.7, as recommended in the paper. I strongly suspect that CFG rescale is not an ideal solution and leaves a substantial training-inference gap, and when using zero terminal SNR models I find that Dynamic Thresholding can give better outputs that are closer to what I expect from the data without the brownout often caused by CFG rescale. A potential starting point for Dynamic Thresholding would be: Restart sampler, 15 CFG scale, Mimic CFG scale 15 7.5, Sawtooth on both scale schedulers, 6 for both minimum values, scheduler value 4, do not separate feature channels, ZERO, STD. You will likely have to experiment a lot with Dynamic Thresholding. (edit: small correction to DT settings)
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Dynamic Thresholding for comfyui?
Recently switched from A1111 and i love it so far, flexibility to orchestrate complex workflows automatically instead of manual operations is a life changer. Anyhow, one extension i like on A1111 was this one: https://github.com/mcmonkeyprojects/sd-dynamic-thresholding
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How do I implement Dynamic Thresholding (CFG scale fix) in ComfyUI?
In the Automatic1111 webui, there is a Dynamic Thresholding (CFG scale fix) extension that:
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How to diffuse better faces?
Ive found using ADetailer (https://github.com/Bing-su/adetailer, using their reccomended advanced settings and face_yolov8n.pt) and Dynamic Thresholding (CFG set to 12 and Mimic to 7) has vastly improved my face renders. (https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) GL!
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Kohya UI settings as asked (style+character training)
The output LoRA works best with CFG at 4, because at 7 it gets that gasoline colors and contrast of overbaking, but I guess this is a tradeoff of that many steps in total (5200) since the earlier snapshots were not that good in style and with character details. You can use a workaround like the Dynamic Trescholding extention: https://github.com/mcmonkeyprojects/sd-dynamic-thresholding.git - helps a lot in many cases when you want a high CFG but the model/lora overbakes them (it mimics a lower CFG while keeping the high CFG details and prompt alignment).
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Does anyone know how to create this type of hyper realistic pic?
Use sd-dynamic-thresholding extension (set CFG scale to 12 or more and mimic CFG scale to 7): https://github.com/mcmonkeyprojects/sd-dynamic-thresholding
- ControlNet Reference-Only problems
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What's your favorite small tweaks to make? I'll go first
Tweak this up or down for small changes. Too far and you’ll get a different image. Extensions like Dynamic Thresholding can let you go much higher without the overexposed look.
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Blurred/Low quality/Low details images
Turn CFG scale down or maybe use this extension, I've never used Dynamic Thresholding before but I think its what you want
- Dynamic threshold & Offset noise - The answer to oversaturated images?
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Stats
Basic sd-dynamic-thresholding repo stats
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7.2
13 days ago
mcmonkeyprojects/sd-dynamic-thresholding is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of sd-dynamic-thresholding is Python.
Popular Comparisons
- sd-dynamic-thresholding VS stable-diffusion-webui-anti-burn
- sd-dynamic-thresholding VS Stable-Diffusion
- sd-dynamic-thresholding VS adetailer
- sd-dynamic-thresholding VS multidiffusion-upscaler-for-automatic1111
- sd-dynamic-thresholding VS sd_webui_SAG
- sd-dynamic-thresholding VS sd-dynamic-prompts
- sd-dynamic-thresholding VS ultimate-upscale-for-automatic1111
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