From 9fedd24fc49801aa772742c91a8ee2553db20485 Mon Sep 17 00:00:00 2001
From: Saquib Alam <saquib764@gmail.com>
Date: Tue, 8 Aug 2023 22:41:52 +0530
Subject: [PATCH] remove noisy latent code

---
 nodes.py | 22 ----------------------
 1 file changed, 22 deletions(-)

diff --git a/nodes.py b/nodes.py
index ab9259a7..362eeab7 100644
--- a/nodes.py
+++ b/nodes.py
@@ -871,28 +871,6 @@ class EmptyLatentImage:
         latent = torch.zeros([batch_size, 4, height // 8, width // 8])
         return ({"samples":latent}, )
 
-class NoisyLatentImage:
-    def __init__(self, device="cpu"):
-        self.device = device
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {"required": { 
-                              "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
-                              "width": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
-                              "height": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
-                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 64})}}
-    RETURN_TYPES = ("LATENT",)
-    FUNCTION = "generate"
-
-    CATEGORY = "latent"
-
-    def generate(self, seed, width, height, batch_size=1):
-        generator = torch.manual_seed(seed)
-        latent = torch.randn([batch_size, 4, height // 8, width // 8], generator=generator, device=self.device)
-        return ({"samples":latent}, )
-
-
 class LatentFromBatch:
     @classmethod
     def INPUT_TYPES(s):