update

update always test pipelines list.

.github/workflows/push_tests.yml

@@ -165,7 +165,8 @@ jobs:
       group: gcp-ct5lp-hightpu-8t
     container:
       image: diffusers/diffusers-flax-tpu
-      options: --shm-size "16gb" --ipc host --privileged ${{ vars.V5_LITEPOD_8_ENV}} -v /mnt/hf_cache:/mnt/hf_cache    defaults:
+      options: --shm-size "16gb" --ipc host --privileged ${{ vars.V5_LITEPOD_8_ENV}} -v /mnt/hf_cache:/mnt/hf_cache 
+    defaults:
       run:
         shell: bash
     steps:

docs/source/en/api/pipelines/sana.md

@@ -26,7 +26,7 @@ Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers.m
 
 </Tip>
 
-This pipeline was contributed by [lawrence-cj](https://github.com/lawrence-cj). The original codebase can be found [here](https://github.com/NVlabs/Sana). The original weights can be found under [hf.co/Efficient-Large-Model]https://huggingface.co/Efficient-Large-Model).
+This pipeline was contributed by [lawrence-cj](https://github.com/lawrence-cj) and [chenjy2003](https://github.com/chenjy2003). The original codebase can be found [here](https://github.com/NVlabs/Sana). The original weights can be found under [hf.co/Efficient-Large-Model](https://huggingface.co/Efficient-Large-Model).
 
 Available models:
 

utils/fetch_torch_cuda_pipeline_test_matrix.py

@@ -16,12 +16,8 @@ ALWAYS_TEST_PIPELINE_MODULES = [
     "stable_diffusion_2",
     "stable_diffusion_xl",
     "stable_diffusion_adapter",
-    "deepfloyd_if",
     "ip_adapters",
-    "kandinsky",
     "kandinsky2_2",
-    "text_to_video_synthesis",
-    "wuerstchen",
 ]
 PIPELINE_USAGE_CUTOFF = int(os.getenv("PIPELINE_USAGE_CUTOFF", 50000))