lllyasviel / lllyasviel/stable-diffusion-webui-forge
[Bug]: Missing preprocessors in ControlNet Integrated
- Dominant language
- Python
- Stars
- 13k
- Forks
- 1.7k
- PR merge metrics
- No merged PRs in 30d
Description
### Checklist
- [X] The issue exists after disabling all extensions
- [X] The issue exists on a clean installation of webui
- [ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [X] The issue exists in the current version of the webui
- [X] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet
### What happened?
Too many preprocessors are missing from the ControlNet built-in extension, such as:
Depth:
depth_marigold
NormalMap:
normal_dsine
Scribble:
t2ia_sketch_pidi
IP-Adapter:
ip-adapter_clip_sd15
ip-adapter_clip_sdxl
ip-adapter_clip_sdxl_plus_vith
ip-adapter_face_id
ip-adapter_face_id_plus
And many more
### Steps to reproduce the problem
See the preprocessors available in the ControlNet built-in extension
### What should have happened?
My knowledge about programming is almost zero, but investigating I found that in the preprocessor_compiled.py file there are many errors and they mention all the missing preprocessors, however, they are only commented
### What browsers do you use to access the UI ?
Google Chrome
### Sysinfo
[sysinfo-2024-03-30-04-44.json](https://github.com/lllyasviel/stable-diffusion-webui-forge/files/14810381/sysinfo-2024-03-30-04-44.json)
### Console logs
```Shell
This is not a mistake, just things are missing.
```
### Additional information
_No response_
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by inspecting preprocessor_compiled.py and the preprocessors exposed by the ControlNet built-in extension. Compare the commented entries with the reported missing preprocessors, including the Depth, NormalMap, Scribble, and IP-Adapter examples. Done means the intended preprocessors are available without the reported errors.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100