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Title: History for src/diffusers - lyogavin/diffusers · GitHub

Open Graph Title: History for src/diffusers - lyogavin/diffusers

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Description: 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - History for src/diffusers - lyogavin/diffusers

Open Graph Description: 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - History for src/diffusers - lyogavin/diffusers

X Description: 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - History for src/diffusers - lyogavin/diffusers

Opengraph URL: https://github.com/lyogavin/diffusers

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[Flax] Add Flax inpainting impl (#1966)https://github.com/lyogavin/diffusers/commit/a43bdd01cd6ebf698b9d1d684e796b80a67843ae
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Change PNDMPipeline to use PNDMScheduler (#2003)https://github.com/lyogavin/diffusers/commit/b2ea8a84e9db71c207d28687722d241447bde81e
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Use pipeline tests mixin for UnCLIP pipeline tests + unCLIP MPS fixes (#1908)https://github.com/lyogavin/diffusers/commit/07c0fe4b87a07fc1b42bac738f013b78833559ae
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[Black] Update black library (#2007)https://github.com/lyogavin/diffusers/commit/522f8aa7b2599e58b9815c7d81e9136797c68b5c
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[SD Img2Img] resize source images to multiple of 8 instead of 32 (#1571)https://github.com/lyogavin/diffusers/commit/9b37ed33b5fa09e594b38e4e6f7477beff3bd66a
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Update docstring (#1971)https://github.com/lyogavin/diffusers/commit/9a5d3322e7ab67c2e418f4d61b1341739960d9b6
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Allow converting Flax to PyTorch by adding a "from_flax" keyword (#1900)https://github.com/lyogavin/diffusers/commit/f73ed179610653bf100215a54ca2c8a3cba91cf0
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Fix slow tests (#1983)https://github.com/lyogavin/diffusers/commit/6d3adf6570b0a33f105b65665f2ff4c7b74f8281
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[CPU offload] correct cpu offload (#1968)https://github.com/lyogavin/diffusers/commit/57f7d2593427bd2cbf7d15d32844cfc5f7717d3f
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allow loading ddpm models into ddim (#1932)https://github.com/lyogavin/diffusers/commit/f6f1ec3a7ccba5fb5acc2ff62a62e1d27751752c
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[StableDiffusionimg2img] validating input type (#1913)https://github.com/lyogavin/diffusers/commit/7101c7316b6f6d3f4e578f29c108533cb678a304
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feat : add log-rho deis multistep scheduler (#1432)https://github.com/lyogavin/diffusers/commit/be99201a567c1ccd841dc16fb24e88f7f239c187
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Support training SD V2 with Flax (#1783)https://github.com/lyogavin/diffusers/commit/856331c61bad14cd4314f34dd3ad7de494d665df
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fix: DDPMScheduler.set_timesteps() (#1912)https://github.com/lyogavin/diffusers/commit/675ef1ffbd207676d9e6d9c411289ad7d873d7fc
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[Deterministic torch randn] Allow tensors to be generated on CPU (#1902)https://github.com/lyogavin/diffusers/commit/8ed08e4270fdcb889c3a62e016328d7f14171d3c
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Fixes in comments in SD2 D2I (#1903)https://github.com/lyogavin/diffusers/commit/0df83c79e4247e6b58c4c0aacfcb40b74db8d96e
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Add condtional generation to AudioDiffusionPipeline (#1826)https://github.com/lyogavin/diffusers/commit/4a7e4cec385f6f8ee93eb2885b532a0279d72c58
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[addresses issue #1642] add add_noise to scheduling-sde-ve (#1827)https://github.com/lyogavin/diffusers/commit/f45c675d2cf1e24d8bee024658f112d4c86aa784
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Add UnCLIPImageVariationPipeline to dummy imports (#1897)https://github.com/lyogavin/diffusers/commit/f17fae641c7c268e60c479396891ea97a6b29aae
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updated doc for stable diffusion pipelines (#1770)https://github.com/lyogavin/diffusers/commit/da31075700eb5f7aae1eb974a1c185e53b74f316
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Update ONNX Pipelines to use np.float64 instead of np.float (#1789)https://github.com/lyogavin/diffusers/commit/423c3a4cc6436d697863eacc02a183ae90a64be8
https://github.com/agizmo
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[Attention] Finish refactor attention file (#1879)https://github.com/lyogavin/diffusers/commit/21bbc633c4d7b9bb7f74caf4b248c6a4079a85c6
https://github.com/patrickvonplaten
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[Unclip] Make sure text_embeddings & image_embeddings can directly be passed to enable interpolation tasks. (#1858)https://github.com/lyogavin/diffusers/commit/b28ab30215b908a414ca9ad84d8fcda0aea45ed5
https://github.com/patrickvonplaten
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Make repo structure consistent (#1862)https://github.com/lyogavin/diffusers/commit/29b2c93c9005c87f8f04b1f0835babbcea736204
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Flax: Fix img2img and align with other pipeline (#1824)https://github.com/lyogavin/diffusers/commit/ab0e92fdc8b42e1739840d10bb0b1dc7edaf2ff3
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[Dtype] Align dtype casting behavior with Transformers and Accelerate (#1725)https://github.com/lyogavin/diffusers/commit/f2e521c49928f7a20eef14879bda4230c71121cb
https://github.com/patrickvonplaten
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https://github.com/lyogavin/diffusers/tree/f2e521c49928f7a20eef14879bda4230c71121cb
[Versatile Diffusion] Fix cross_attention_kwargs (#1849)https://github.com/lyogavin/diffusers/commit/debc74f442dc74210528eb6d8a4d1f7f27fa18c3
https://github.com/patrickvonplaten
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unCLIP image variation (#1781)https://github.com/lyogavin/diffusers/commit/53c8147afe7c7713f6e20f1f391c477e9cb4a7a1
https://github.com/williamberman
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Width was typod as weight (#1800)https://github.com/lyogavin/diffusers/commit/8a4c3e50bdae402482f49cc72c4f97e46ac083ee
https://github.com/Helw150
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Avoid duplicating PyTorch + safetensors downloads. (#1836)https://github.com/lyogavin/diffusers/commit/68e24259af627d2e32b5f06e41c095a511b16aca
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Make safety_checker optional in more pipelines (#1796)https://github.com/lyogavin/diffusers/commit/df2b548e893ccb8a888467c2508756680df22821
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