Prompt alignment for Meissonic using SMC
Prompt
A photo of a yellow bird and a black motorcycle
Run
Examples
Pretrained model — settings
▼
Negative prompt
worst quality, low quality, low res, blurry, distortion, watermark, logo, signature, text, jpeg artifacts, signature, sketch, duplicate, ugly, identifying mark
CFG
↺
0
30
Steps
↺
1
200
Pretrained model outputs
SMC-grad method — settings
▼
Negative prompt
worst quality, low quality, low res, blurry, distortion, watermark, logo, signature, text, jpeg artifacts, signature, sketch, duplicate, ugly, identifying mark
CFG
↺
0
30
Steps
↺
1
200
SMC Num particles
↺
1
64
ESS threshold
↺
0
1
Partial resampling
Resample frequency
↺
1
50
KL weight
↺
0
10
Lambda tempering
Lambda one at (fraction of steps)
↺
0
1
Use continuous formulation
Phi
↺
1
8
Tau
↺
0
1
SMC-grad outputs
Finetuned model — settings
▼
Negative prompt
worst quality, low quality, low res, blurry, distortion, watermark, logo, signature, text, jpeg artifacts, signature, sketch, duplicate, ugly, identifying mark
CFG
↺
0
30
Steps
↺
1
200
Finetuned model outputs