A reference for different samplers using Stable Diffusion
testing each sampler

InvokeAI released a 2.0 version yesterday. After fiddling around with it, and
finally getting everything working on my M1 MacBook I wanted to do a comparison of each of the samplers for future reference.
I used the same prompt, steps, cfg_scale, and seed for them.
Prompt:
polaroid photo of high mountains, photorealism
Other Settings:
Side note: I set the steps low as I was limited on time, I will touch on that in the Final Thoughts section
steps: 20
cfg_scale: 7.5
seed: 3971012830
Image Output
image: 000004
Sampler: ddim
1 image(s) generated in 53.50s

image: 000005
Sampler: plms
1 image(s) generated in 63.51s

image: 000006
Sampler: k_lms
1 image(s) generated in 64.39s

image: 000007
Sampler: k_dpm_2
1 image(s) generated in 98.26s

image: 000008
Sampler: k_dpm_2_a
1 image(s) generated in 99.59s

image: 000009
Sampler: k_euler
1 image(s) generated in 55.66s

image: 000010
Sampler: k_euler_a
1 image(s) generated in 56.86s

image: 000011
Sampler: k_heun
1 image(s) generated in 100.47s

Final Thoughts
k_euler_a
, k_dpm_2
, and k_dpm_2_a
samplers really could use some additional steps. See below for results with 50 steps.
ddim
and k_euler
were the fastest to generate without too many steps.
They may be great for getting your initial image.
I was initially pretty surprised by how each sampler provided a really close
image structure to each other using the same seed.
I am also continuing to be surprised by how powerful a little M1 MacBook Pro
can be in this arena without tripping on the fans at all.
k_euler_a, k_dpm_2, and k_dpm_2_a samplers bumped to 50 steps:
image: 000013
Sampler: k_euler_a
1 image(s) generated in 136.07s
Seems better, but not worth the extra time?

image: 000014
Sampler: k_dpm_2
1 image(s) generated in 236.99s
Still blurry ?? No improvement really, just waste time.

image: 000015
Sampler: k_dpm_2_a
1 image(s) generated in 236.18s
Still blurry ?? No improvement really, just waste time.
