lllyasviel / lllyasviel/sd-forge-layerdiffuse

AttributeError: 'TimestepEmbedSequential' object has no attribute '1'

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Description

**Description**

Hey guys, I met an issue when I am trying the **"SD1.5 Generate Everything together"** function. The forge backend raised an error -

```
*** Error running process_before_every_sampling: /some_path/Workspaces/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/scripts/forge_layerdiffusion.py
Traceback (most recent call last):
File "/some_path/Workspaces/stable-diffusion-webui-forge/modules/scripts.py", line 835, in process_before_every_sampling
script.process_before_every_sampling(p, *script_args, **kwargs)
File "/some_path/Workspaces/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/scripts/forge_layerdiffusion.py", line 247, in process_before_every_sampling
patcher = AttentionSharingPatcher(unet, frames=3, use_control=False)
File "/some_path/Workspaces/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/lib_layerdiffusion/attention_sharing.py", line 208, in __init__
attn_module = utils.get_attr(unet.model.diffusion_model, real_key)
File "/some_path/Workspaces/stable-diffusion-webui-forge/ldm_patched/modules/utils.py", line 306, in get_attr
obj = getattr(obj, name)
File "/some_path/miniconda3/envs/sld/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1688, in __getattr__
raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
AttributeError: 'TimestepEmbedSequential' object has no attribute '1
```

Does anyone know how to solve this problem?

**Setup**

* NVIDIA V100 16G
* Python 3.10
* Linux x64

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with extensions/sd-forge-layerdiffuse/scripts/forge_layerdiffusion.py at line 247 and trace into lib_layerdiffusion/attention_sharing.py at line 208. Inspect ldm_patched/modules/utils.py at line 306 and reproduce the “SD1.5 Generate Everything together” flow; done means the flow no longer raises the reported AttributeError.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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