Training tutorial #2473
Training tutorial #2473
Conversation
stevhliu
requested review from
pcuenca,
yiyixuxu,
sayakpaul and
patrickvonplaten
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The documentation is not available anymore as the PR was closed or merged. |
| - sections: | ||
| - local: tutorials/basic_training | ||
| title: Train a diffusion model | ||
| title: Tutorials |
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I think it can go under the training section we already have.
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The tutorial section is intended to introduce newcomers to the library and help them learn and get started/oriented to be able to use the rest of the library. You can think of this section as the gateway docs to the rest of the library or like a mini crash course on 🧨 Diffusers. It gives users, especially newcomers, a safe/welcoming space to get comfortable before digging deeper into the rest of the docs on how they can start solving tasks specific to them. In this case, after reading how to train for unconditional image generation, it sets the user up to better understand some of the more complicated training examples like Textual Inversion and DreamBooth (at least it helped me to see some familiar things in the notebook that I had previously seen before). Happy to hear what you think! 🤗 |
* first draft * ✨ minor edits * ✨ minor fixes * 🖍 apply feedbacks * 🖍 apply feedback and minor edits
* first draft * ✨ minor edits * ✨ minor fixes * 🖍 apply feedbacks * 🖍 apply feedback and minor edits
* first draft * ✨ minor edits * ✨ minor fixes * 🖍 apply feedbacks * 🖍 apply feedback and minor edits
This PR migrates the relevant content from the Training with Diffusers notebook into a new Tutorial section in the docs. It edits out some of the more background information so we don't bog the user down with these details, and focuses on just showing them the steps to train their own model!