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).
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. Connect the node before other model/clip patches.
Read more about NegPiP in the original repo. I recommend to keep all dots/commas inside weight braces (i.e. (worst quality,:-1.3) (sketch:-1.1,) instead of (worst quality:-1.3), (sketch:-1.1),).
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.
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 (optimal value is 2, use -1 to disable this feature).
Modified samplers from Euler-Smea-Dyn-Sampler by Koishi-Star.
Contains some new samplers like euler_ancestral_dy or dpmpp_2m_dy.
Tweak s_dy_pow parameter while using *_dy samplers to reduce blur artifacts (optimal value is 2, use -1 to disable this feature).
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) node generates empty latent with specified aspect ratio and with respect to target resolution.
A small lightweight wrapper over ConditioningConcat node, CLIPTextEncodeBREAK node can split prompts by BREAK keyword into chunks and produce a single concatenated conditioning.
Counts tokens in your prompt and returns them as a string (currently limited to clip_l). You can also print token count + individual tokens by enabling debug_print.
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 for SDXL and ays+ is just ays with force_sigma_min=True.
Also adds GITS scheduler and AYS_30 scheduler (based on AYS_32 by Koitenshin)
Hijacks advanced_encode_from_tokens method from Advanced CLIP Text Encode extension (if installed), making all weight interpretations compatible with NegPip.
