Jupyter Notebook clip-guided-diffusion

Open-source Jupyter Notebook projects categorized as clip-guided-diffusion

Jupyter Notebook clip-guided-diffusion Projects

  • S2ML-Generators

    Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

    Project mention: Sense of AI | Vqgan+Clip | reddit.com/r/MediaSynthesis | 2022-02-09

    At default settings_ https://github.com/justin-bennington/S2ML-Generators

  • doohickey

    Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field.

    Project mention: List of Stable Diffusion systems - Part 3 | reddit.com/r/StableDiffusion | 2022-09-20

    (Added Sep. 16, 2022) Colab notebook Doohickey_Diffusion by aicrumb. GitHub repo. Tutorial. txt2img. img2img. Optionally can use guidance by a CLIP-like model, instead of using classifier-free guidance. "CLIP Guidance can increase the quality of your image the slightest bit [...]. [...] it slows down the generation time by around 5x."

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-09-20.

Jupyter Notebook clip-guided-diffusion related posts

Index

Project Stars
1 S2ML-Generators 177
2 doohickey 37
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