v0.4.0

Update Github Action for Publishing to Comfy Registry

.github/workflows/publish.yml

@@ -7,15 +7,19 @@ on:
     paths:
       - "pyproject.toml"
 
+permissions:
+  issues: write
+
 jobs:
   publish-node:
     name: Publish Custom Node to registry
     runs-on: ubuntu-latest
+    if: ${{ github.repository_owner == 'asagi4' }}
     steps:
       - name: Check out code
         uses: actions/checkout@v4
       - name: Publish Custom Node
-        uses: Comfy-Org/publish-node-action@main
+        uses: Comfy-Org/publish-node-action@v1
         with:
           ## Add your own personal access token to your Github Repository secrets and reference it here.
           personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

README.md

@@ -4,7 +4,7 @@ An implementation of adaptive guidance for ComfyUI
 
 See https://bcv-uniandes.github.io/adaptiveguidance-wp/
 
-Import [this workflow](workflows/AGExample.json?raw=1) into ComfyUI to compare Adaptive Guidance vs. normal CFG.
+Import [this workflow](example_workflows/AGExample.json?raw=1) into ComfyUI to compare Adaptive Guidance vs. normal CFG.
 
 ## What
 

__init__.py

@@ -215,8 +215,14 @@ class AdaptiveProjectedGuidanceFunction:
             cond = args["cond"]
             uncond = args["uncond"]
         cfg_scale = args["cond_scale"]
+        sigma = args["sigma"][0].item()
         step = args["model"].model_sampling.timestep(args["sigma"])[0].item()
-        x = args["input"]
+        x_orig = args["input"]
+        if self.mode == "vpred":
+            sigma = step
+            x = x_orig / (sigma * sigma + 1.0)
+            cond = ((x - (x_orig - cond)) * (sigma**2 + 1.0) ** 0.5) / (sigma)
+            uncond = ((x - (x_orig - uncond)) * (sigma**2 + 1.0) ** 0.5) / (sigma)
 
         if self.current_step < step:
             self.current_step = 999.0
@@ -249,7 +255,9 @@ class AdaptiveProjectedGuidanceFunction:
 
         pred = cond + (cfg_scale - 1) * (diff_orthogonal + self.eta * diff_parallel)
         if "denoised" == self.mode:
-            pred =  x - pred
+            pred = x_orig - pred
+        elif "vpred" == self.mode:
+            pred = x_orig - (x - pred * sigma / (sigma * sigma + 1.0) ** 0.5)
         return pred
 
 
@@ -262,7 +270,7 @@ class AdaptiveProjectedGuidance:
                 "momentum": ("FLOAT", {"default": 0.5, "min": -1.0, "max": 1.0, "step": 0.01}),
                 "eta": ("FLOAT", {"default": 1, "min": 0.0, "max": 1.0, "step": 0.01}),
                 "norm_threshold": ("FLOAT", {"default": 15.0, "min": 0.0, "max": 50.0, "step": 0.1}),
-                "mode": (["normal", "denoised"],),
+                "mode": (["normal", "denoised", "vpred"],),
                 "adaptive_momentum": ("FLOAT", {"default": 0.18, "min": 0, "max": 1.0, "step": 0.01}),
             },
         }

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-adaptive-guidance"
 description = "An implementation of adaptive guidance for ComfyUI\nSee https://bcv-uniandes.github.io/adaptiveguidance-wp/"
-version = "0.3.1"
+version = "0.4.0"
 license = { text = "GNU General Public License v3.0" }
 
 [project.urls]