Messing with the denoising loop can allow you to reach new places in latent space. Over 8+ different research papers/Auto1111 extension ideas in a single pipe. Load once and do lots of different things (SD 2.1 or 1.5)

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion

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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • MultiDiffusion

    Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

  • So I've continued to experiment with how many papers I can fit into a single pipe and have them play nicely together. The images below were created by combining the panorama code from omerbt/MultiDiffusion with the ideas from albarji/mixture-of-diffusers. Also turns out nateraw/stable-diffusion-videos can be seen as a special case of a panorama (in latent space rather than prompt space).

  • mixture-of-diffusers

    Mixture of Diffusers for scene composition and high resolution image generation

  • So I've continued to experiment with how many papers I can fit into a single pipe and have them play nicely together. The images below were created by combining the panorama code from omerbt/MultiDiffusion with the ideas from albarji/mixture-of-diffusers. Also turns out nateraw/stable-diffusion-videos can be seen as a special case of a panorama (in latent space rather than prompt space).

  • 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.

    InfluxDB logo
  • stable-diffusion-videos

    Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

  • So I've continued to experiment with how many papers I can fit into a single pipe and have them play nicely together. The images below were created by combining the panorama code from omerbt/MultiDiffusion with the ideas from albarji/mixture-of-diffusers. Also turns out nateraw/stable-diffusion-videos can be seen as a special case of a panorama (in latent space rather than prompt space).

  • sd_lite

    set-up Stable Diffusion with minimal dependencies and a single multi-function pipe

  • The pipe is available at sd_lite/pipeline_stable_diffusion_multi.py (github.com) it combines:

  • safe-latent-diffusion

    Official Implementation of Safe Latent Diffusion for Text2Image

  • SLD ( ml-research/safe-latent-diffusion general image beautifier, more tuneable than a negative prompt, also can now apply to image2image)

  • semantic-image-editing

  • SEGA ( ml-research/semantic-image-editing change genders/ethnicity whilst retaining composition)

  • sd-dynamic-thresholding

    Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (StableSwarmUI, ComfyUI, and Auto WebUI)

  • dynamic config (mcmonkeyprojects/sd-dynamic-thresholding)

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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