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sd-enable-textual-inversion reviews and mentions
- Stable Diffusion links from around September 11, 2022 that I collected for further processing
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aiART genertion from an image database.
Yes, what you’re describing can be done using textual inversion.
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Did GoogleAI Just Snooker One of Silicon Valley’s Sharpest Minds?
https://github.com/hlky/sd-enable-textual-inversion
It creates a representation of an entity and allows rending it in different styles and contexts. Currently it involves model fine tuning, but I expect it will become convenient as the power of the operation becomes clear. And once it's convenient, you'll be able to do the progressive queries you're asking for (and it'll be a lot easier to create narratively coherent sets of images.)
- My findings using Textual Inversion for Stable Diffusion
- Question: Does anyone know if it is possible to generate the same image but in different views (like left view, top view, close-up etc) ?
- Could someone make a GUI Textual inversion guide for noobs?
- Useful link
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Teach new concepts to Stable Diffusion with 3-5 images only - and browse a library of learned concepts to use
A branch to add it to SD (which I think the original now has): https://github.com/hlky/sd-enable-textual-inversion
- Further training of stable diffusion
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I don't know anything about python or programming. How can I easily create a .pt file for use with embedding, to generate content based on trained image?
Hey now, there's still an option out there, this Colab notebook, it's able to run on the free tier of Colab. By default, it runs for about 2 hours per embed, and the files made can be used both in the notebook, and on Hlky's front-end, after enabling it, and setting to full precision.
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 May 2024
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The primary programming language of sd-enable-textual-inversion is Python.
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