#3487 Fix inpainting strength for various samplers#3532
Merged
patrickvonplaten merged 4 commits intohuggingface:mainfrom May 30, 2023
Merged
#3487 Fix inpainting strength for various samplers#3532patrickvonplaten merged 4 commits intohuggingface:mainfrom
patrickvonplaten merged 4 commits intohuggingface:mainfrom
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The documentation is not available anymore as the PR was closed or merged. |
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Hey @rupertmenneer, This fix makes a lot of sense to me! Sadly it interferes a bit with the PR here: #3533 that we just merged. Could you maybe rebase your PR? 😅 |
added 3 commits
May 26, 2023 17:12
…ps < 1 when strength adjusts the num_inference_steps then the inpainting pipeline should fail
…e_sigma when pure noise updated this commit w.r.t the latest merge here: huggingface#3533
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Hey @patrickvonplaten no problem at all - these things happen! Took me 1 minute to fix. 👍 Rebased and accepted your changes on the conflict, and then resubmitted my fix on top! Just waiting for CI to pass but I am sure it will be all sweet. |
yoonseokjin
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Dec 25, 2023
…gface#3532) * Throw error if strength adjusted num_inference_steps < 1 * Added new fast test to check ValueError raised when num_inference_steps < 1 when strength adjusts the num_inference_steps then the inpainting pipeline should fail * fix huggingface#3487 initial latents are now only scaled by init_noise_sigma when pure noise updated this commit w.r.t the latest merge here: huggingface#3533 * fix --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
AmericanPresidentJimmyCarter
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Apr 26, 2024
…gface#3532) * Throw error if strength adjusted num_inference_steps < 1 * Added new fast test to check ValueError raised when num_inference_steps < 1 when strength adjusts the num_inference_steps then the inpainting pipeline should fail * fix huggingface#3487 initial latents are now only scaled by init_noise_sigma when pure noise updated this commit w.r.t the latest merge here: huggingface#3533 * fix --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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This PR contains the following additions:
num_inference_steps< 1 due to strength adjustment.num_inference_steps< 1.