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[Tests] Adds a test to check if image_embeds None case is handled properly in StableUnCLIPImg2ImgPipeline #2861

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Merged
patrickvonplaten merged 5 commits into from
Mar 28, 2023
Merged

[Tests] Adds a test to check if image_embeds None case is handled properly in StableUnCLIPImg2ImgPipeline #2861

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a009f1d
improve stable unclip doc.
sayakpaul Mar 25, 2023
ecf008f
Merge branch 'main' of https://github.com/huggingface/diffusers
sayakpaul Mar 28, 2023
01b4d70
Merge branch 'main' of https://github.com/huggingface/diffusers
sayakpaul Mar 28, 2023
825c659
add: test to check if image_emebds None case is handled.
sayakpaul Mar 28, 2023
c261742
apply formatting/
sayakpaul Mar 28, 2023
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20 changes: 20 additions & 0 deletions tests/pipelines/stable_unclip/test_stable_unclip_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
import random
import unittest

import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
Expand Down Expand Up @@ -146,6 +147,25 @@ def get_dummy_inputs(self, device, seed=0, pil_image=True):
"output_type": "np",
}

def test_image_embeds_none(self):
device = "cpu" # ensure determinism for the device-dependent torch.Generator
components = self.get_dummy_components()
sd_pipe = StableUnCLIPImg2ImgPipeline(**components)
sd_pipe = sd_pipe.to(device)
sd_pipe.set_progress_bar_config(disable=None)

inputs = self.get_dummy_inputs(device)
inputs.update({"image_embeds": None})
image = sd_pipe(**inputs).images
image_slice = image[0, -3:, -3:, -1]

assert image.shape == (1, 32, 32, 3)
expected_slice = np.array(
[0.34588397, 0.7747054, 0.5453714, 0.5227859, 0.57656777, 0.6532228, 0.5177634, 0.49932978, 0.56626225]
)

assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-3

# Overriding PipelineTesterMixin::test_attention_slicing_forward_pass
# because GPU undeterminism requires a looser check.
def test_attention_slicing_forward_pass(self):
Expand Down