lllyasviel / lllyasviel/sd-forge-layerdiffuse
From background to Blending problem
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.1k
- Forks
- 352
- PR merge metrics
- No merged PRs in 30d
Description
First, thanks for the great work but I may have the following problem.
I downloaded the background image you provided and configured it with the same parameters as follows:
old man sitting, high quality
Negative prompt: bad, ugly
Steps: 20, Sampler: DPM++ 2M SDE Karras, CFG scale: 7, Seed: 12345, Size: 896x1152, Model hash: 1fe6c7ec54, Model: juggernautXL_version6Rundiffusion, layerdiffusion_enabled: True, layerdiffusion_method: From Background to Blending, layerdiffusion_weight: 1, layerdiffusion_ending_step: 1, layerdiffusion_fg_image: False, layerdiffusion_bg_image: True, layerdiffusion_blend_image: False, layerdiffusion_resize_mode: Crop and Resize, Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
However, my inference results are as follows:
Also, there are some other failed cases:
(1)
parameters:
handlesome man sitting on the bench, high quality
Negative prompt: bad, ugly
Steps: 20, Sampler: DPM++ 2M SDE Karras, CFG scale: 7, Seed: 12345, Size: 896x1152, Model hash: 1fe6c7ec54, Model: juggernautXL_version6Rundiffusion, layerdiffusion_enabled: True, layerdiffusion_method: From Background to Blending, layerdiffusion_weight: 1, layerdiffusion_ending_step: 1, layerdiffusion_fg_image: False, layerdiffusion_bg_image: True, layerdiffusion_blend_image: False, layerdiffusion_resize_mode: Crop and Resize, Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
(2)
input background:
parameters:
plants on table, high quality
Negative prompt: bad, ugly
Steps: 20, Sampler: DPM++ 2M SDE Karras, CFG scale: 7, Seed: 12345, Size: 896x1152, Model hash: 1fe6c7ec54, Model: juggernautXL_version6Rundiffusion, layerdiffusion_enabled: True, layerdiffusion_method: From Background to Blending, layerdiffusion_weight: 1, layerdiffusion_ending_step: 1, layerdiffusion_fg_image: False, layerdiffusion_bg_image: True, layerdiffusion_blend_image: False, layerdiffusion_resize_mode: Crop and Resize, Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
The result always involves the generation of new objects in certain areas, while the geometric structures between layers are not well aligned. I would like to know if this is a problem with layer_xl_bg2ble.safetensors or if it's due to some details I might have overlooked personally.
Thanks.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the reported From Background to Blending cases with the supplied prompts, seed, model, dimensions, and layerdiffusion settings. Compare the generated geometry and new-object artifacts, then determine whether the behavior comes from layer_xl_bg2ble.safetensors or an overlooked configuration detail; document the cause and reproduction conditions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100