* drop python 3.8
* remove list, tuple, dict from typing
* fold Unions into |
* up
* fix a bunch and please me.
* up
* up
* up
* up
* up
* up
* enforce 3.10.0.
* up
* up
* up
* up
* up
* up
* up
* up
* Update setup.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* up.
* python 3.10.
* ifx
* up
* up
* up
* up
* final
* up
* fix typing utils.
* up
* up
* up
* up
* up
* up
* fix
* up
* up
* up
* up
* up
* up
* handle modern types.
* up
* up
* fix ip adapter type checking.
* up
* up
* up
* up
* up
* up
* up
* revert docstring changes.
* keep deleted files deleted.
* keep deleted files deleted.
---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* initial conversion script
* cosmos control net block
* CosmosAttention
* base model conversion
* wip
* pipeline updates
* convert controlnet
* pipeline: working without controls
* wip
* debugging
* Almost working
* temp
* control working
* cleanup + detail on neg_encoder_hidden_states
* convert edge
* pos emb for control latents
* convert all chkpts
* resolve TODOs
* remove prints
* Docs
* add siglip image reference encoder
* Add unit tests
* controlnet: add duplicate layers
* Additional tests
* skip less
* skip less
* remove image_ref
* minor
* docs
* remove skipped test in transfer
* Don't crash process
* formatting
* revert some changes
* remove skipped test
* make style
* Address comment + fix example
* CosmosAttnProcessor2_0 revert + CosmosAttnProcessor2_5 changes
* make style
* make fix-copies
* Support different pipeline outputs for LTX 2 encode_video
* Update examples to use improved encode_video function
* Fix comment
* Address review comments
* make style and make quality
* Have non-iterator video inputs respect video_chunks_number
* make style and make quality
* Add warning when encode_video receives a non-denormalized np.ndarray
* make style and make quality
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Even if the `qweight_type` is one of the `UNQUANTIZED_TYPES`, qweight still has to be "dequantized" because it is stored as an 8-bit tensor. Without doing so, it is therefore a shape mismatch in the following matmul.
Side notes:
- why isn't DIFFUSERS_GGUF_CUDA_KERNELS on by default? It's significantly faster and only used when installed
- https://huggingface.co/Isotr0py/ggml/tree/main/build has no build for torch 2.8 (or the upcoming 2.9). Who can we contact to make such a build?
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Add ZImageInpaintPipeline
Updated the pipeline structure to include ZImageInpaintPipeline
alongside ZImagePipeline and ZImageImg2ImgPipeline.
Implemented the ZImageInpaintPipeline class for inpainting
tasks, including necessary methods for encoding prompts,
preparing masked latents, and denoising.
Enhanced the auto_pipeline to map the new ZImageInpaintPipeline
for inpainting generation tasks.
Added unit tests for ZImageInpaintPipeline to ensure
functionality and performance.
Updated dummy objects to include ZImageInpaintPipeline for
testing purposes.
* Add documentation and improve test stability for ZImageInpaintPipeline
- Add torch.empty fix for x_pad_token and cap_pad_token in test
- Add # Copied from annotations for encode_prompt methods
- Add documentation with usage example and autodoc directive
* Address PR review feedback for ZImageInpaintPipeline
Add batch size validation and callback handling fixes per review,
using diffusers conventions rather than suggested code verbatim.
* Update src/diffusers/pipelines/z_image/pipeline_z_image_inpaint.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
* Update src/diffusers/pipelines/z_image/pipeline_z_image_inpaint.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
* Add input validation and fix XLA support for ZImageInpaintPipeline
- Add missing is_torch_xla_available import for TPU support
- Add xm.mark_step() in denoising loop for proper XLA execution
- Add check_inputs() method for comprehensive input validation
- Call check_inputs() at the start of __call__
Addresses PR review feedback from @asomoza.
* Cleanup
---------
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
* add metadata field to input/output param
* refactor mellonparam: move the template outside, add metaclass, define some generic template for custom node
* add from_custom_block
* style
* up up fix
* add mellon guide
* add to toctree
* style
* add mellon_types
* style
* mellon_type -> inpnt_types + output_types
* update doc
* add quant info to components manager
* fix more
* up up
* fix components manager
* update custom block guide
* update
* style
* add a warn for mellon and add new guides to overview
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/modular_diffusers/mellon.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* more update on custom block guide
* Update docs/source/en/modular_diffusers/mellon.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* a few mamual
* apply suggestion: turn into bullets
* support define mellon meta with MellonParam directly, and update doc
* add the video
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal>
* tag loader_id from Automodel
* style
* load_components by default only load components that are not already loaded
* by default, skip loading the componeneets does not have the repo id
