
This is my Realistic focused SDXL Model merged with the new SDXL Turbo for super fast generations at a slightly lower quality.
It can generate a 768x768 image at 5 steps in 1.7 Seconds on my RTX 3090.
IMPORTANT.
I have found these settings best in my testing in Automatic1111:
Sampling Method: Euler a
Initial image resolution: 768x768
Number of steps: 5
CFG: 1
Img2Img Upscaling settings:
Sampling Method: DPM++ 3M SDE
image resolution: Resize by 2.4x (1843x1843)
Steps: 7
Denoising strength: 0.15
Note: That Img2Img the num_of_steps
* Denoising Strength
has to be equal or larger to 1. ie 0.15 x 7 = 1.05 or else you will get errors. "UnboundLocalError: local variable 'h' referenced before assignment"
描述:
First Merge with SDXL Turbo.
训练词语:
名称: jibMixTurboXL_v10.safetensors
大小 (KB): 6938821
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success