lllyasviel / lllyasviel/sd-forge-layerdiffuse

Poor quality in from foreground to blending in sdxl

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Dominant language
Python
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Description

Prompt: Landscape photography,highest resolution, 8K, realistic, detailed, dynamic, full detail, creative, awesome, perfect, unique, amazing, beautiful

Settings: Steps: 30, Sampler: Euler a, CFG scale: 5, Seed: 12345, Size: 832x1216, Model hash: 1fe6c7ec54, Model: juggernautXL_version6Rundiffusion, layerdiffusion_enabled: True, layerdiffusion_method: (SDXL) From Foreground to Blending, layerdiffusion_weight: 1, layerdiffusion_ending_step: 1, layerdiffusion_fg_image: True, layerdiffusion_bg_image: False, layerdiffusion_blend_image: False, layerdiffusion_resize_mode: Crop and Resize, layerdiffusion_fg_additional_prompt: , layerdiffusion_bg_additional_prompt: , layerdiffusion_blend_additional_prompt: , Version: f0.0.17v1.8.0rc-1.7.0
Input:
![IMG_4389](https://github.com/layerdiffusion/sd-forge-layerdiffuse/assets/52605055/6c823526-0c16-405e-9986-8ee3c8fac8cb)
Result :
![IMG_4388](https://github.com/layerdiffusion/sd-forge-layerdiffuse/assets/52605055/6e956254-7e5e-4210-ac9f-c8e460bb3bde)

always get blurry result like this,is there anything wrong with my settings?

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Research direction

The report provides generation settings and input/result images but names no source file, test, or entry point. First reproduce the SDXL “From Foreground to Blending” case with the listed settings, then determine whether the blurry output is expected or a defect; completion requires a documented explanation or a reproducible fix.

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
20/100

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