ComfyUI-ppm

Just a bunch of random nodes modified/fixed/created by me or others. If any node starts throwing errors after an update - try to delete and re-add the node.

I'll probably add some example workflows in the future (but I'm kinda lazy, kek).

Nodes

CLIPNegPip

Modified implementation of NegPiP by laksjdjf and hako-mikan. It uses ModelPatcher instead of monkey-patching, which should increase compatibility with other nodes. Compatible with weight interpretations from Advanced CLIP Text Encode extension by BlenderNeko .

CLIPNegPip node allows you to use negative weights in prompts. You should connect CLIPNegPip before other model/clip patches. After that, you can enter negative weights in your prompts (CTRL + arrows hotkey is capped at 0.0, will probably fix that soon).

Read more about NegPiP in the original repo. I recommend putting everything from negative prompt to positive with a negative weight of something like -1.1 or -1.3. It's also better to keep all commas inside weight braces (i.e. (worst quality,:-1.3) (sketch:-1.1,) instead of (worst quality:-1.3), (sketch:-1.1),).

AttentionCouplePPM

Modified implementation of AttentionCouple by laksjdjf and Haoming02. I made AttentionCouplePPM node compatible with CLIPNegPiP node and with default PatchModelAddDownscale (Kohya Deep Shrink) node.

Inputs for new regions are managed automatically: when you attach cond/mask of a region to the node, a new cond_ / mask_ input appears. Last cond_ / mask_ inputs are always optional.

Use multiple LatentToMaskBB nodes to set bounding box masks for AttentionCouplePPM. The parameters are relative to your initial latent: x=0.5, y=0.0, w=0.5, h=1.0 will produce a mask covering right half of your image.

CFG++SamplerSelect

Samplers adapted to CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models by Chung et al.. Includes some samplers from Euler-Smea-Dyn-Sampler by Koishi-Star.

Should greatly reduce overexposure effect. Use together with SamplerCustom node. Don't forget to set CFG scale to 1.0-2.0 and PAG/SEG scale (if used) to 0.5-1.0.

Tweak s_dy_pow parameter while using *_dy_* samplers to reduce blur artifacts (value -1 disables this feature).

Guidance Limiter

Implementation of Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models by Kynkäänniemi et al. (also contains RescaleCFG functionality)

Guidance Limiter is also available as a CFGLimiterGuider guider node for SamplerCustomAdvanced.

Empty Latent Image (Aspect Ratio)

Empty Latent Image (Aspect Ratio) node generates empty latent with specified aspect ratio and with respect to target resolution.

CLIPTextEncodeBREAK

A small lightweight wrapper over ConditioningConcat node, CLIPTextEncodeBREAK node can split prompts by BREAK keyword into chunks and produce a single concatenated conditioning.

CLIPTokenCounter

Counts tokens in your prompt and returns them as a string. You can also print token count + individual tokens by enabling debug_print.

Hooks/Hijacks

Schedulers

Adds AlignYourSteps scheduler modified by Extraltodeus to the default list of schedulers by replacing comfy.samplers.calculate_sigmas function. ays is the default AYS scheduler and ays+ is just ays with force_sigma_min=True.

Also adds GITS scheduler and AYS_30 scheduler (based on AYS_32 by Koitenshin)

Advanced CLIP Text Encode

Hijacks advanced_encode_from_tokens method from Advanced CLIP Text Encode extension (if installed), making all weight interpretations compatible with NegPip.