diffusers
diffusers copied to clipboard
š¤ Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
addresses https://github.com/huggingface/diffusers/issues/12776 # What does this PR do? This PR keeps the tuples, but moves the splitting from tensors into tuples of tensors to the transformer blocks, to avoid issues...
**Is your feature request related to a problem? Please describe.** When group offloading is enabled, the offload and onload cannot be streamed between steps and this is really a big...
# What does this PR do? Passing prompt embeds to the pipeline input class is an important use case and the corresponding tests were disabled for QwenImage Edit and QwenImage...
_flash_attention_3 in dispatch_attention_fn is not compatible with the latest flash-atten interface.
### Describe the bug [FA3] Don't return lse: https://github.com/Dao-AILab/flash-attention/commit/ed209409acedbb2379f870bbd03abce31a7a51b7 but in the current diffuser version, it is not updated. https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_dispatch.py#L608 when use fa3 backend, diffuser will raise error. ### Reproduction...
### Describe the bug The pipeline method for QwenImagePipeline.encode_prompts is not padding correctly; it's padding by the longest sequence length in the batch, which leaves very very short embeds that...
# Fix QwenImage Prompt Embedding Padding for Deterministic Outputs ## What was the issue? Issue #12075 reported that QwenImage pipelines were producing non-deterministic outputs when using the same prompt across...
I see convert_wan_to_diffusers.py in diffusers repo, but no convert_diffusers_to_wan.py. Do you have plan to upload a convert scripts?
### Describe the bug Hi, I might be misunderstanding something here ā Iām not very experienced with submitting issues to Diffusers yet, so please feel free to correct me if...
### Describe the bug i got "RuntimeError: mat1 and mat2 shapes cannot be multiplied (2x1536 and 768x3072)" when i ran "train_dreambooth_lora_flux_advanced.py" from the latest version of diffusers or v0.35.1 but...
The test `pytest -rA tests/quantization/torchao/test_torchao.py::TorchAoTest::test_model_memory_usage` failed with ``` > assert unquantized_model_memory / quantized_model_memory >= expected_memory_saving_ratio E assert (1416704 / 1382912) >= 2.0 tests/quantization/torchao/test_torchao.py:512: AssertionError ``` on A100. I guess it...