From 3644845246fe54b018e5f9a769f55df1d772ed3a Mon Sep 17 00:00:00 2001 From: Jonathon Belotti Date: Sun, 21 Jul 2024 17:00:43 -0400 Subject: [PATCH] Fix broken link in Stable Diffusion XL (#817) --- 06_gpu_and_ml/flan_t5/flan_t5_finetune.py | 1 - 06_gpu_and_ml/stable_diffusion/stable_diffusion_xl.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/06_gpu_and_ml/flan_t5/flan_t5_finetune.py b/06_gpu_and_ml/flan_t5/flan_t5_finetune.py index 6a7c576d5..e277ffea8 100644 --- a/06_gpu_and_ml/flan_t5/flan_t5_finetune.py +++ b/06_gpu_and_ml/flan_t5/flan_t5_finetune.py @@ -75,7 +75,6 @@ def track_restarts(restart_tracker: modal.Dict) -> int: gpu="A10g", timeout=7200, volumes={VOL_MOUNT_PATH: output_vol}, - _allow_background_volume_commits=True, ) def finetune(num_train_epochs: int = 1, size_percentage: int = 10): from datasets import load_dataset diff --git a/06_gpu_and_ml/stable_diffusion/stable_diffusion_xl.py b/06_gpu_and_ml/stable_diffusion/stable_diffusion_xl.py index 6f0c37df8..26244ae09 100644 --- a/06_gpu_and_ml/stable_diffusion/stable_diffusion_xl.py +++ b/06_gpu_and_ml/stable_diffusion/stable_diffusion_xl.py @@ -9,7 +9,7 @@ # example, but it generates images from the larger SDXL 1.0 model. Specifically, it runs the # first set of steps with the base model, followed by the refiner model. # -# [Try out the live demo here!](https://modal-labs--stable-diffusion-xl-app.modal.run/) The first +# [Try out the live demo here!](https://modal-labs--stable-diffusion-xl-ui.modal.run/) The first # generation may include a cold-start, which takes around 20 seconds. The inference speed depends on the GPU # and step count (for reference, an A100 runs 40 steps in 8 seconds).