AttributeError in `diffusers.models.transformers.transformer_flux` - Missing `rope` Attribute

[rajveer43]

Describe the bug

I encountered an issue while working with the diffusers library where an AttributeError is raised because the transformer_flux module does not have an attribute named rope. This problem arises when trying to modify the rope function to handle CUDA devices.

Reproduction

Below is a code snippet that leads to this error:

import torch
from diffusers import FluxPipeline
import diffusers
from PIL import Image
import matplotlib.pyplot as plt

# Attempt to modify the rope function to handle CUDA device
_flux_rope = diffusers.models.transformers.transformer_flux.rope
def new_flux_rope(pos: torch.Tensor, dim: int, theta: int) -> torch.Tensor:
 assert dim % 2 == 0, "The dimension must be even."
 if pos.device.type == "cuda":
 # Move tensor to CPU for ROPE computation, then move it back to CUDA
 return _flux_rope(pos.to("cpu"), dim, theta).to(device=pos.device)
 else:
 # Perform ROPE computation directly if tensor is not on CUDA
 return _flux_rope(pos, dim, theta)

# Replace the original rope function with the new one
diffusers.models.transformers.transformer_flux.rope = new_flux_rope

The rope function should be accessible in the transformer_flux module to allow customization, such as handling CUDA devices or modifying ROPE computations.

Logs

---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-f5d61243cd5c> in <cell line: 8>()
 6 
 7 # Modify the rope function to handle the CPU device only
----> 8 _flux_rope = diffusers.models.transformers.transformer_flux.rope
 9 def new_flux_rope(pos: torch.Tensor, dim: int, theta: int) -> torch.Tensor:
 10 assert dim % 2 == 0, "The dimension must be even."

AttributeError: module 'diffusers.models.transformers.transformer_flux' has no attribute 'rope'

System Info

0.31.0.dev0(diffuser version)
3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0](python iversion)

Who can help?

@sayakpaul @DN6

[yiyixuxu]

hi @rajveer43
we did a refactor and replaced the rope method with the get_1d_rotary_pos_embed see this PR #9074

[github-actions]

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

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[sayakpaul]

Closing due to inactivity.