Add CPU offloading to UnCLIP #1761
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anton-l
requested review from
patil-suraj,
patrickvonplaten,
pcuenca and
williamberman
anton-l
commented
Dec 19, 2022
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| pipeline = UnCLIPPipeline.from_pretrained("kakaobrain/karlo-v1-alpha") | ||
| pipeline = UnCLIPPipeline.from_pretrained("kakaobrain/karlo-v1-alpha", torch_dtype=torch.float16) |
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No more OOMs on main for this test :)
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Very nice :-) Thanks a lot!
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The documentation is not available anymore as the PR was closed or merged. |
| assert image.shape == (256, 256, 3) | ||
| assert np.abs(expected_image - image).max() < 1e-2 | ||
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| def test_stable_diffusion_pipeline_with_sequential_cpu_offloading(self): |
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| device = torch.device(f"cuda:{gpu_id}") | ||
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| # TODO: self.prior.post_process_latents is not covered by the offload hooks, so it fails if added to the list |
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I had this problem with the safety checker as well I think. Totally fine as is!
sliard
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to sliard/diffusers
that referenced
this pull request
Dec 21, 2022
* Add CPU offloading to UnCLIP * use fp32 for testing the offload
yoonseokjin
pushed a commit
to yoonseokjin/diffusers
that referenced
this pull request
Dec 25, 2023
* Add CPU offloading to UnCLIP * use fp32 for testing the offload
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