# Additional training of models

**URL:** <https://discuss.huggingface.co/t/additional-training-of-models/110241>\
**Category:** Beginners\
**Created:** [October 5, 2024, 1:29pm UTC](https://discuss.huggingface.co/t/additional-training-of-models/110241 "2024-10-05T13:29:19Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![TMZka](https://avatars.discourse-cdn.com/v4/letter/t/bb73d2/32.png) [@TMZka](https://discuss.huggingface.co/u/TMZka)\
**Post date:** [October 5, 2024, 1:29pm UTC](https://discuss.huggingface.co/t/additional-training-of-models/110241/1 "2024-10-05T13:29:19Z")

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I want to fine-tune a pre-trained model for image generation on my dataset to generate a specific character. However, I can’t find the necessary documentation for this. I have already prepared images in one format (512x512) and annotations for them. I would like to use PyTorch and Python. Please provide links to the documentation or ready-made code for fine-tuning. Thank you.

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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\
**Post date:** [October 5, 2024, 2:01pm UTC](https://discuss.huggingface.co/t/additional-training-of-models/110241/2 "2024-10-05T14:01:28Z")

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If it’s a Stable Diffusion system you’re using, I’d suggest using the following script or space, but I’m not sure if it’s a proprietary model…

> **[GitHub - kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts)**
>
> Contribute to kohya-ss/sd-scripts development by creating an account on GitHub.

> **[Tutorial: Dreambooth LoRA training using Kohya\_SS | Civitai](https://civitai.com/articles/391/tutorial-dreambooth-lora-training-using-kohyass)**
>
> \[Edits 6/24 - Cover image and outputs updated with images that in line with this site's updated guidelines. \] \[Edits 7/1 - Link to Lycoris/LoCon Tu...

> **[LoRA Ease - a Hugging Face Space by multimodalart](https://huggingface.co/spaces/multimodalart/lora-ease)**
>
> Train LoRAs with Ease
