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mirror of https://github.com/huggingface/diffusers.git synced 2026-01-29 07:22:12 +03:00
This commit is contained in:
Dhruv Nair
2025-03-14 12:33:53 +01:00
parent 6d0d68aee3
commit 8ddbcad714
2 changed files with 1 additions and 24 deletions

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@@ -59,7 +59,7 @@ EXAMPLE_DOC_STRING = """
>>> pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=flow_shift)
>>> pipe.to("cuda")
>>> prompt = "A cat and a dog baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon. The kitchen is cozy, with sunlight streaming through the window."
>>> prompt = "A robot standing on a mountain top. The sun is setting in the background"
>>> negative_prompt = "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards"
>>> video = load_video(
... "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/hiker.mp4"

View File

@@ -12,7 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import gc
import unittest
import numpy as np
@@ -23,8 +22,6 @@ from transformers import AutoTokenizer, T5EncoderModel
from diffusers import AutoencoderKLWan, UniPCMultistepScheduler, WanTransformer3DModel, WanVideoToVideoPipeline
from diffusers.utils.testing_utils import (
enable_full_determinism,
require_torch_accelerator,
slow,
)
from ..pipeline_params import TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
@@ -147,23 +144,3 @@ class WanVideoToVideoPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
)
def test_save_load_float16(self):
pass
@slow
@require_torch_accelerator
class WanPipelineIntegrationTests(unittest.TestCase):
prompt = "A painting of a squirrel eating a burger."
def setUp(self):
super().setUp()
gc.collect()
torch.cuda.empty_cache()
def tearDown(self):
super().tearDown()
gc.collect()
torch.cuda.empty_cache()
@unittest.skip("TODO: test needs to be implemented")
def test_Wanx(self):
pass