[CI] Nightly Test Updates #9380
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sayakpaul
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Sep 8, 2024
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| expected_slice = np.array([0.1199, 0.1171, 0.1229, 0.1188, 0.1210, 0.1147, 0.1260, 0.1346, 0.1152]) | ||
| assert np.abs(image_slice - expected_slice).max() < 0.003 |
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Probably because of the runner change?
| assert image.shape == (1, 512, 512, 3) | ||
| expected_slice = np.array([0.9983, 1.0, 1.0, 1.0, 1.0, 0.9989, 0.9994, 0.9976, 0.9977]) | ||
| assert np.abs(image_slice - expected_slice).max() < 3e-3 | ||
| expected_slice = np.array([0.1509, 0.1492, 0.1531, 0.1485, 0.1501, 0.1465, 0.1581, 0.1690, 0.1499]) |
| gc.collect() | ||
| torch.cuda.empty_cache() | ||
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| def test_stable_diffusion_adapter_color(self): |
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I think testing for different variants isn't too bad in general. Instead of deleting them how about we keep all of them but one (perhaps the most downloaded one; depth) commented? We could also do the same for ControlNet tests.
WDYT?
yiyixuxu
approved these changes
Sep 12, 2024
|
I think the failing tests are unrelated. |
sayakpaul
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Dec 23, 2024
* update * update * update * update * update --------- Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: YiYi Xu <[email protected]>
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What does this PR do?
This PR:
runwayml/stable-diffusion-v1-5withJiali/stable-diffusion-1.5. Until we find a permanent host for the SD1.5 checkpoint. Switching to a finetune would require updating all the slices. So this is a temporary solution.runwayml/stable-diffusion-v1-5-inpaintingwithbotp/stable-diffusion-v1-5-inpaintingrunwayml/stable-diffusion-v1-5Fixes # (issue)
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