Upload exampleworkflow.json

exampleworkflow.json

@@ -1,8 +1,8 @@
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@@ -1029,7 +983,8 @@
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@@ -1070,89 +1025,6 @@
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@@ -1165,7 +1037,7 @@
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@@ -1604,40 +1480,6 @@
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@@ -1800,19 +1642,239 @@
         "ltxv-13b-0.9.7-vae-BF16.safetensors"
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+          "type": "CLIP",
+          "links": []
+        }
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+          "type": "STRING",
+          "links": null
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+      "properties": {
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+        "ver": "c669e6cff81ba44cce91c9eee3236c1a64725394",
+        "Node name for S&R": "ttN text",
+        "widget_ue_connectable": {},
+        "ttNnodeVersion": "1.0.0"
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+      "widgets_values": [
+        "Use this deactivated node isntead of the normal clip loader if you have multigpu installed and a second gpu to offload the clip model to that one.\nYou can use any t5xxl model- "
+      ]
+    },
     {
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@@ -1825,8 +1887,9 @@
       "properties": {
         "cnr_id": "comfyui_tinyterranodes",
         "ver": "c669e6cff81ba44cce91c9eee3236c1a64725394",
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         "widget_ue_connectable": {},
-        "Node name for S&R": "ttN text"
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         "-Change the model name in Unet Loader (GGUF) to the one you downloaded\n\n-Enable Patch Sage Attention KJ for more speed if you installed Sageattn\n\n-LTXQ8 Patch should not be needed\n\n-You can connect the Load image to the 🅛🅣🅧 LTXV Base Sampler for I2V\n\n-Download the ltxv-13b-0.9.7-vae-BF16.safetensors file from here:\nhttps://huggingface.co/wsbagnsv1/ltxv-13b-0.9.7-dev-GGUF/blob/main/ltxv-13b-0.9.7-vae-BF16.safetensors\n\n-Tipp exchange the unet loader with the distorch unet loader from multi gpu to load bigger quants and prevent out of memory errors with 10gb or so virtual vram (; "
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