Merge changes #190
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Merge changes #190
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* Add Notebooks on Community Scripts
fix progress bar updates in SD 1.5 PAG Img2Img pipeline
* Update pipeline_flux_img2img.py Added FromSingleFileMixin to this pipeline loader like the other FLUX pipelines. * Update pipeline_flux_img2img.py typo * modified: src/diffusers/pipelines/flux/pipeline_flux_img2img.py
update file paths to research_projects folder. Co-authored-by: Sayak Paul <[email protected]>
update comments of load_ip_adapter function
…g area: "Only Masked") (#8793) * Modify apply_overlay for inpainting * style --------- Co-authored-by: root <root@debian> Co-authored-by: Álvaro Somoza <[email protected]> Co-authored-by: yiyixuxu <[email protected]>
Correct pipeline_output.py
Add all AttnProcessor in `AttentionProcessor` type
Fixed nits in docs and example script. Co-authored-by: Sayak Paul <[email protected]>
* Add server example. * Minor updates to README. * Add fixes after local testing. * Apply suggestions from code review Updates to README from code review Co-authored-by: Steven Liu <[email protected]> * More doc updates. * Maybe this will work to build the docs correctly? * Fix style issues. * Fix toc. * Minor reformatting. * Move docs to proper loc. * Fix missing tick. * Apply suggestions from code review Co-authored-by: Steven Liu <[email protected]> * Sync docs changes back to README. * Very minor update to docs to add space. --------- Co-authored-by: Steven Liu <[email protected]>
* CogVideoX1_1PatchEmbed test * 1360 * 768 * refactor * make style * update docs * add modeling tests for cogvideox 1.5 * update * make fix-copies * add ofs embed(for convert) * add ofs embed(for convert) * more resolution for cogvideox1.5-5b-i2v * use even number of latent frames only * update pipeline implementations * make style * set patch_size_t as None by default * #skip frames 0 * refactor * make style * update docs * fix ofs_embed * update docs * invert_scale_latents * update * fix * Update docs/source/en/api/pipelines/cogvideox.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/api/pipelines/cogvideox.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/api/pipelines/cogvideox.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/api/pipelines/cogvideox.md Co-authored-by: Steven Liu <[email protected]> * Update src/diffusers/models/transformers/cogvideox_transformer_3d.py * update conversion script * remove copied from * fix test * Update docs/source/en/api/pipelines/cogvideox.md * Update docs/source/en/api/pipelines/cogvideox.md * Update docs/source/en/api/pipelines/cogvideox.md * Update docs/source/en/api/pipelines/cogvideox.md --------- Co-authored-by: Aryan <[email protected]> Co-authored-by: Steven Liu <[email protected]>
4 Notebooks for Community Scripts and minor script improvements.
) * memory improvement as done here: #9829 * fix bug * fix bug * style --------- Co-authored-by: Sayak Paul <[email protected]>
* feat: save_lora_adapter.
* update cogvideox rope implementation * apply suggestions from review
* update * update
* Move files to research-projects. * docs: add IP Adapter training instructions * Delete venv * Update examples/ip_adapter/tutorial_train_sdxl.py Co-authored-by: Sayak Paul <[email protected]> * Cherry-picked commits and re-moved files to research_projects. * make style. * Update toctree and delete ip_adapter. * Nit Fix * Fix nit. * Fix nit. * Create training script for single GPU and set model format to .safetensors * Add sample inference script and restore _toctree * Restore toctree.yaml * fix spacing. * Update toctree.yaml --------- Co-authored-by: AMohamedAakhil <[email protected]> Co-authored-by: BootesVoid <[email protected]> Co-authored-by: Sayak Paul <[email protected]>
* add skip_layers argument to SD3 transformer model class * add unit test for skip_layers in stable diffusion 3 * sd3: pipeline should support skip layer guidance * up --------- Co-authored-by: bghira <[email protected]> Co-authored-by: yiyixuxu <[email protected]>
* Fix beta and exponential sigmas + add tests --------- Co-authored-by: Sayak Paul <[email protected]>
* update * update * update * update * update * update --------- Co-authored-by: Sayak Paul <[email protected]>
* feat: add lora support to Mochi-1.
* improve control net index --------- Co-authored-by: YiYi Xu <[email protected]>
…9915) * Update handle single blocks on _convert_xlabs_flux_lora_to_diffusers to fix bug on updating keys and old_state_dict --------- Co-authored-by: raul_ar <[email protected]> Co-authored-by: Sayak Paul <[email protected]>
* fix * update expected slice
* skip nan lora tests on PyTorch 2.5.1 CPU. * cog * use xfail * correct xfail * add condition * tests
* enable on xpu * add 1 more * add one more * enable more * add 1 more * add more * enable 1 * enable more cases * enable * enable * update comment * one more * enable 1 * add more cases * enable xpu * add one more caswe * add more cases * add 1 * add more * add more cases * add case * enable * add more * add more * add more * enbale more * add more * update code * update test marker * add skip back * update comment * remove single files * remove * style * add * revert * reformat * update decorator * update * update * update * Update tests/pipelines/deepfloyd_if/test_if.py Co-authored-by: Dhruv Nair <[email protected]> * Update src/diffusers/utils/testing_utils.py Co-authored-by: Dhruv Nair <[email protected]> * Update tests/pipelines/animatediff/test_animatediff_controlnet.py Co-authored-by: Dhruv Nair <[email protected]> * Update tests/pipelines/animatediff/test_animatediff.py Co-authored-by: Dhruv Nair <[email protected]> * Update tests/pipelines/animatediff/test_animatediff_controlnet.py Co-authored-by: Dhruv Nair <[email protected]> * update float16 * no unitest.skipt * update * apply style check * reapply format --------- Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: Dhruv Nair <[email protected]>
Co-authored-by: Dhruv Nair <[email protected]>
* update --------- Co-authored-by: yiyixuxu <[email protected]> Co-authored-by: Sayak Paul <[email protected]>
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Nice new Flux pipelines ready to go!