* Merged isinstance calls to make the code simpler.
* Corrected formatting errors using ruff.
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Fix `added_cond_kwargs` when using IP-Adapter
Fix error when using IP-Adapter in pipeline and passing `ip_adapter_image_embeds` instead of `ip_adapter_image`
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Expand `diffusers-cli env`
* SafeTensors -> Safetensors
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Move `safetensors_version = "not installed"` to `else`
* Update `safetensors_version` checking
* Add GPU detection for Linux, Mac OS, and Windows
* Add accelerator detection to environment command
* Add is_peft_version to import_utils
* Update env.py
* Add `huggingface_hub` reference
* Add `transformers` reference
* Add reference for `huggingface_hub`
* Fix print statement in env.py for unusual OS
* Up
* Fix platform information in env.py
* up
* Fix import order in env.py
* ruff
* make style
* Fix platform system check in env.py
* Fix run method return type in env.py
* 🤗
* No need f-string
* Remove location info
* Remove accelerate config
* Refactor env.py to remove accelerate config
* feat: Add support for `bitsandbytes` library in environment command
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* fixed vae loading issue #7619
* rerun make style && make quality
* bring back model_has_vae and add change \ to / in config_file_name on windows os to make match work
* add missing import platform
* bring back import model_info
* make config_file_name OS independent
* switch to using Path.as_posix() to resolve OS dependence
* improve style
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: bssrdf <bssrdf@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Update requirements.txt
If the datasets library is old, it will not read the metadata.jsonl and the label will default to an integer of type int.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Fixed a wrong link to python versions in contributing.md file.
* Updated the link to a permalink, so that it will permanently point to the specific line.
* find & replace all FloatTensors to Tensor
* apply formatting
* Update torch.FloatTensor to torch.Tensor in the remaining files
* formatting
* Fix the rest of the places where FloatTensor is used as well as in documentation
* formatting
* Update new file from FloatTensor to Tensor
* Remove dead code
* PylancereportGeneralTypeIssues: Strings nested within an f-string cannot use the same quote character as the f-string prior to Python 3.12.
* Remove dead code
SDXL LoRA weights for text encoders should be decoupled on save
The method checks if at least one of unet, text_encoder and
text_encoder_2 lora weights are passed, which was not reflected in the
implentation.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
`model_output.shape` may only have rank 1.
There are warnings related to use of random keys.
```
tests/schedulers/test_scheduler_flax.py: 13 warnings
/Users/phillypham/diffusers/src/diffusers/schedulers/scheduling_ddpm_flax.py:268: FutureWarning: normal accepts a single key, but was given a key array of shape (1, 2) != (). Use jax.vmap for batching. In a future JAX version, this will be an error.
noise = jax.random.normal(split_key, shape=model_output.shape, dtype=self.dtype)
tests/schedulers/test_scheduler_flax.py::FlaxDDPMSchedulerTest::test_betas
/Users/phillypham/virtualenv/diffusers/lib/python3.9/site-packages/jax/_src/random.py:731: FutureWarning: uniform accepts a single key, but was given a key array of shape (1,) != (). Use jax.vmap for batching. In a future JAX version, this will be an error.
u = uniform(key, shape, dtype, lo, hi) # type: ignore[arg-type]
```
* 7879 - adjust documentation to use naruto dataset, since pokemon is now gated
* replace references to pokemon in docs
* more references to pokemon replaced
* Japanese translation update
---------
Co-authored-by: bghira <bghira@users.github.com>
* Add Ascend NPU support for SDXL fine-tuning and fix the model saving bug when using DeepSpeed.
* fix check code quality
* Decouple the NPU flash attention and make it an independent module.
* add doc and unit tests for npu flash attention.
---------
Co-authored-by: mhh001 <mahonghao1@huawei.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Sai-Suraj-27