nodes/mcmonkeyprojects-sd-dynamic-thresholding
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skip dynthresh if mimic == cfg

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per chaotic reddit post https://www.reddit.com/r/StableDiffusion/comments/1enxcek/comment
This commit is contained in:
Alex "mcmonkey" Goodwin
2024-08-10 05:59:56 -07:00
parent 1a49c55c1a
commit 5d63447afb
1 changed files with 8 additions and 2 deletions
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dynthres_comfyui.py
+8 -2
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@@ -38,7 +38,10 @@ class DynamicThresholdingComfyNode:
time_step = time_step[0].item() time_step = time_step[0].item()
dynamic_thresh.step = 999 - time_step dynamic_thresh.step = 999 - time_step
return input - dynamic_thresh.dynthresh(cond, uncond, cond_scale, None) if cond_scale == mimic_scale:
return input - (uncond + (cond - uncond) * cond_scale)
else:
return input - dynamic_thresh.dynthresh(cond, uncond, cond_scale, None)
m = model.clone() m = model.clone()
m.set_model_sampler_cfg_function(sampler_dyn_thresh) m.set_model_sampler_cfg_function(sampler_dyn_thresh)
@@ -73,7 +76,10 @@ class DynamicThresholdingSimpleComfyNode:
time_step = time_step[0].item() time_step = time_step[0].item()
dynamic_thresh.step = 999 - time_step dynamic_thresh.step = 999 - time_step
return input - dynamic_thresh.dynthresh(cond, uncond, cond_scale, None) if cond_scale == mimic_scale:
return input - (uncond + (cond - uncond) * cond_scale)
else:
return input - dynamic_thresh.dynthresh(cond, uncond, cond_scale, None)
m = model.clone() m = model.clone()
m.set_model_sampler_cfg_function(sampler_dyn_thresh) m.set_model_sampler_cfg_function(sampler_dyn_thresh)