From 4d1d9fc58c654d148f8dd13d54deb3fe824865d8 Mon Sep 17 00:00:00 2001 From: GitLab CI Date: Tue, 7 Oct 2025 18:41:02 +0000 Subject: [PATCH] chore: Regenerate all playbooks --- nvidia/flux-finetuning/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nvidia/flux-finetuning/README.md b/nvidia/flux-finetuning/README.md index 9e4e5da..2962b80 100644 --- a/nvidia/flux-finetuning/README.md +++ b/nvidia/flux-finetuning/README.md @@ -120,7 +120,7 @@ sudo sh -c 'sync; echo 3 > /proc/sys/vm/drop_caches' ## Step 5. Dataset preparation -Let's prepare our dataset to perform Dreambooth LoRA fine-tuning on the FLUX.1-dev 12B model. However, if you wish to continue with the provided dataset of Toy Jensen and DGX Spark, feel free to skip to the [Training](#training) section. This dataset is a collection of public assets accessible via Google Images. +Let's prepare our dataset to perform Dreambooth LoRA fine-tuning on the FLUX.1-dev 12B model. However, if you wish to continue with the provided dataset of Toy Jensen and DGX Spark, feel free to skip to the Training section below. This dataset is a collection of public assets accessible via Google Images. You will need to prepare a dataset of all the concepts you would like to generate and about 5-10 images for each concept. For this example, we would like to generate images with 2 concepts.