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View course →Stable Diffusion Crash Course for Beginners
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This crash course covers the Stable Diffusion workflow end to end: creating art with AUTOMATIC1111, training your own model, using ControlNet, and calling the Stable Diffusion API endpoint. It is aimed at beginners who want the technical picture of how the tool fits together.
The description lists several outside pieces to install: the Stable Diffusion web UI, models from a model site, a VAE and embeddings for a named model, a LoRA training guide and the ControlNet extension. Allow time for these, since each is a separate download.
The course addresses the ethics of AI art directly and encourages responsible use that respects the rights of artists. It is worth taking that seriously as you learn the tools.
Learn how to use Stable Diffusion to create art and images in this full course. You will learn how to train your own model, how to use Control Net, how to use Stable Diffusion's API endpoint, and more.
The ethical implications of AI in art are significant. This course aims to educate on the technical aspects of the tool. We emphasize the importance of using it responsibly and respecting the rights of artists.
✏️ Course created by @lynnzheng
🔗 Install stable diffusion: https://github.com/AUTOMATIC1111/stable-diffusion-webui
🔗 Download models: https://civitai.com/
🔗 Download VAE for Model "Counterfeit": https://huggingface.co/gsdf/Counterfeit-V2.5/blob/main/Counterfeit-V2.5.vae.pt
🔗 Download Embeddings: https://huggingface.co/datasets/gsdf/EasyNegative
🔗 Train a Lora: https://civitai.com/models/22530
🔗 Install Control Net - https://github.com/Mikubill/sd-webui-controlnet
(Use --enable-insecure-extension-access extensions)
🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
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❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp
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