lllyasviel / lllyasviel/sd-forge-layerdiffuse

Error loading script: forge_layerdiffusion.py

Open
#118 5 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
4.1k
Forks
352
PR merge metrics
No merged PRs in 30d

Description

Hello. The script stopped loading at startup.

```
*** Error loading script: forge_layerdiffusion.py
Traceback (most recent call last):
File "C:\ai\webui\modules\scripts.py", line 541, in load_scripts
script_module = script_loading.load_module(scriptfile.path)
File "C:\ai\webui\modules\script_loading.py", line 10, in load_module
module_spec.loader.exec_module(module)
File "", line 883, in exec_module
File "", line 241, in _call_with_frames_removed
File "C:\ai\webui\extensions\sd-forge-layerdiffuse\scripts\forge_layerdiffusion.py", line 15, in
from lib_layerdiffusion.models import TransparentVAEDecoder, TransparentVAEEncoder
File "C:\ai\webui\extensions\sd-forge-layerdiffuse\lib_layerdiffusion\models.py", line 10, in
from diffusers.models.unets.unet_2d_blocks import UNetMidBlock2D, get_down_block, get_up_block
ModuleNotFoundError: No module named 'diffusers.models.unets'
```

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  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 and lib_layerdiffusion/models.py, focusing on the failing diffusers import and the installed module layout. Reproduce startup loading in the Forge WebUI and confirm that forge_layerdiffusion.py loads without the ModuleNotFoundError.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.