From 5c7a7f8bfcdb8c381b27eee32d98d747e82df878 Mon Sep 17 00:00:00 2001 From: sayakpaul Date: Wed, 26 Nov 2025 10:37:17 +0530 Subject: [PATCH 1/2] fix links --- docs/source/en/api/pipelines/flux2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/en/api/pipelines/flux2.md b/docs/source/en/api/pipelines/flux2.md index 90eaedc245b7..87f0fd92658e 100644 --- a/docs/source/en/api/pipelines/flux2.md +++ b/docs/source/en/api/pipelines/flux2.md @@ -19,7 +19,7 @@ specific language governing permissions and limitations under the License. Flux.2 is the recent series of image generation models from Black Forest Labs, preceded by the [Flux.1](./flux.md) series. It is an entirely new model with a new architecture and pre-training done from scratch! -Original model checkpoints for Flux can be found [here](https://huggingface.co/black-forest-labs). Original inference code can be found [here](https://github.com/black-forest-labs/flux2-dev). +Original model checkpoints for Flux can be found [here](https://huggingface.co/black-forest-labs). Original inference code can be found [here](https://github.com/black-forest-labs/flux2). > [!TIP] > Flux2 can be quite expensive to run on consumer hardware devices. However, you can perform a suite of optimizations to run it faster and in a more memory-friendly manner. Check out [this section](https://huggingface.co/blog/sd3#memory-optimizations-for-sd3) for more details. Additionally, Flux can benefit from quantization for memory efficiency with a trade-off in inference latency. Refer to [this blog post](https://huggingface.co/blog/quanto-diffusers) to learn more. From ff2753afbde2a0220a1122840a2dfb58ec38a344 Mon Sep 17 00:00:00 2001 From: sayakpaul Date: Wed, 26 Nov 2025 10:37:35 +0530 Subject: [PATCH 2/2] up --- examples/dreambooth/README_flux2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/dreambooth/README_flux2.md b/examples/dreambooth/README_flux2.md index 99ef533e565f..1d1777811387 100644 --- a/examples/dreambooth/README_flux2.md +++ b/examples/dreambooth/README_flux2.md @@ -2,7 +2,7 @@ [DreamBooth](https://huggingface.co/papers/2208.12242) is a method to personalize image generation models given just a few (3~5) images of a subject/concept. -The `train_dreambooth_lora_flux2.py` script shows how to implement the training procedure for [LoRAs](https://huggingface.co/blog/lora) and adapt it for [FLUX.2 [dev]](https://github.com/black-forest-labs/flux2-dev). +The `train_dreambooth_lora_flux2.py` script shows how to implement the training procedure for [LoRAs](https://huggingface.co/blog/lora) and adapt it for [FLUX.2 [dev]](https://github.com/black-forest-labs/flux2). > [!NOTE] > **Memory consumption**