Diffusers: Simplified the README files. Updated CI tests.

examples/stable-diffusion/README_legacy.md

@@ -316,28 +316,6 @@ python image_to_image_generation.py \
     --bf16
 ```
 
-### FLUX.1 Image-to-Image
-
-Here is how to generate a FLUX.1 image using a single input image and prompt:
-
-```bash
-python image_to_image_generation.py \
-    --model_name_or_path "black-forest-labs/FLUX.1-dev" \
-    --src_image_path "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png" \
-    --prompts "cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k" \
-    --num_images_per_prompt 10 \
-    --batch_size 1 \
-    --strength 0.9 \
-    --guidance_scale 3.5 \
-    --num_inference_steps 30 \
-    --image_save_dir /tmp/flux_images \
-    --use_habana \
-    --use_hpu_graphs \
-    --gaudi_config Habana/stable-diffusion \
-    --sdp_on_bf16 \
-    --bf16
-```
-
 ### Stable Diffusion Image Variations
 
 Here is how to generate image variations of a single image (without any input prompts):

tests/test_diffusers.py

@@ -203,6 +203,14 @@ def check_8xhpu(test_case):
     return pytest.mark.skipif(skip, reason="test requires 8xHPU multi-card system")(test_case)
 
 
+def legacy(test_case):
+    """
+    Decorator skipping a test if it's old
+    """
+    skip = os.environ.get("RUN_DIFFUSERS_LEGACY", "0") != "1"
+    return pytest.mark.skipif(skip, reason="This test is for old/legacy mmodel. Skipped starting 1.16.0")(test_case)
+
+
 class GaudiPipelineUtilsTester(TestCase):
     """
     Tests the features added on top of diffusers/pipeline_utils.py.
@@ -622,6 +630,7 @@ def test_stable_diffusion_hpu_graphs(self):
         self.assertEqual(images[-1].shape, (64, 64, 3))
 
     @slow
+    @legacy
     def test_no_throughput_regression_bf16(self):
         prompts = [
             "An image of a squirrel in Picasso style",
@@ -672,6 +681,7 @@ def test_no_throughput_regression_bf16(self):
 
     @custom_bf16_ops
     @slow
+    @legacy
     def test_no_throughput_regression_autocast(self):
         prompts = [
             "An image of a squirrel in Picasso style",
@@ -705,6 +715,7 @@ def test_no_throughput_regression_autocast(self):
 
     @custom_bf16_ops
     @slow
+    @legacy
     def test_no_generation_regression_ldm3d(self):
         prompts = [
             "An image of a squirrel in Picasso style",
@@ -795,6 +806,7 @@ def test_no_generation_regression_upscale(self):
 
     @slow
     @check_8xhpu
+    @legacy
     def test_sd_textual_inversion(self):
         path_to_script = (
             Path(os.path.dirname(__file__)).parent
@@ -2324,6 +2336,7 @@ def test_depth2img_pipeline_hpu_graphs(self):
         assert images[0].shape == (32, 32, 3)
 
     @slow
+    @legacy
     def test_depth2img_pipeline(self):
         gaudi_config = GaudiConfig(use_torch_autocast=True)
         model_name = "stabilityai/stable-diffusion-2-depth"
@@ -2464,6 +2477,7 @@ def test_script_train_controlnet(self):
 
     @slow
     @check_8xhpu
+    @legacy
     def test_train_controlnet(self):
         with tempfile.TemporaryDirectory() as tmpdir:
             path_to_script = (
@@ -4879,6 +4893,7 @@ def test_inference_batch_single_identical(self):
         super().test_inference_batch_single_identical(expected_max_diff=3e-3)
 
     @slow
+    @legacy
     def test_stable_diffusion_inpaint_no_throughput_regression(self):
         """Test that stable diffusion inpainting no throughput regression autocast"""
 
@@ -5668,6 +5683,7 @@ def test_ddpmpipline_hpu_graphs(self):
         self.assertEqual(np.array(images[-1]).shape, (256, 256, 3))
 
     @slow
+    @legacy
     def test_no_throughput_regression_bf16(self):
         batch_size = 16  # use batch size 16 as the baseline
         model_name = "google/ddpm-ema-celebahq-256"
@@ -6009,6 +6025,7 @@ def test_flux_prompt_embeds(self):
     @slow
     @check_gated_model_access("black-forest-labs/FLUX.1-dev")
     @pytest.mark.skipif(not IS_GAUDI2, reason="does not fit into Gaudi1 memory")
+    @legacy
     def test_flux_img2img_inference(self):
         repo_id = "black-forest-labs/FLUX.1-dev"
         image_path = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png"