Update
Browse files- comfyprov-basic.sh +1 -1
- comfyprov-full.sh +1 -1
- workflows/WAN2.2-I2V-AutoPrompt-SingleVideo-GGUF.json +412 -411
- workflows/WAN2.2-I2V-AutoPrompt-SingleVideo.json +401 -398
- workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-GGUF.json +976 -1011
- workflows/{WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-2.json → WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-3.json} +421 -409
comfyprov-basic.sh
CHANGED
|
@@ -29,7 +29,7 @@ WORKFLOWS=(
|
|
| 29 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo-GGUF.json"
|
| 30 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo.json"
|
| 31 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-GGUF.json"
|
| 32 |
-
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-
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| 33 |
)
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| 34 |
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| 35 |
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| 29 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo-GGUF.json"
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| 30 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo.json"
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| 31 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-GGUF.json"
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| 32 |
+
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-3.json"
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| 33 |
)
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comfyprov-full.sh
CHANGED
|
@@ -45,7 +45,7 @@ WORKFLOWS=(
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| 45 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo-GGUF.json"
|
| 46 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo.json"
|
| 47 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-GGUF.json"
|
| 48 |
-
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-
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| 49 |
)
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| 50 |
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| 51 |
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| 45 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo-GGUF.json"
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| 46 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-AutoPrompt-SingleVideo.json"
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| 47 |
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-GGUF.json"
|
| 48 |
+
"https://huggingface.co/huchukato/favs/resolve/main/workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-3.json"
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)
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workflows/WAN2.2-I2V-AutoPrompt-SingleVideo-GGUF.json
CHANGED
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@@ -48,7 +48,7 @@
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}
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},
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"widgets_values": [
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-
"
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"image"
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],
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"color": "#232",
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@@ -815,7 +815,7 @@
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"collapsed": true
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},
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"order": 36,
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-
"mode":
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"inputs": [
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{
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"name": "model",
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@@ -850,56 +850,6 @@
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"color": "#233",
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"bgcolor": "#355"
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},
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-
{
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"id": 168,
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"type": "ModelPatchTorchSettings",
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-
"pos": [
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-1059.081610016406,
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116.45887946938701
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],
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"size": [
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252.095703125,
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34
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],
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"flags": {
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"collapsed": true
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},
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"order": 37,
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"mode": 0,
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"inputs": [
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{
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"name": "model",
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"type": "MODEL",
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"link": 357
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}
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],
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"outputs": [
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{
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"name": "MODEL",
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"type": "MODEL",
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"links": [
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]
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}
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],
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"properties": {
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"cnr_id": "comfyui-kjnodes",
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"ver": "a6b867b63a29ca48ddb15c589e17a9f2d8530d57",
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"Node name for S&R": "ModelPatchTorchSettings",
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"aux_id": "kijai/ComfyUI-KJNodes",
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"ue_properties": {
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"version": "7.0.1",
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"widget_ue_connectable": {
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"enable_fp16_accumulation": true
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}
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}
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},
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"widgets_values": [
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true
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],
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"color": "#233",
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"bgcolor": "#355"
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-
},
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{
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"id": 63,
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"type": "VHS_VideoCombine",
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@@ -1763,179 +1713,340 @@
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"bgcolor": "#355"
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},
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{
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"id":
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"type": "
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"pos": [
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],
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"size": [
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],
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"flags": {},
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"order":
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"mode":
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"inputs": [
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{
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"link": 381
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{
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"
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"
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"type": "
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"link": null
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}
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],
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"outputs": [
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{
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"dir": 4,
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"name": "MODEL",
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"shape": 3,
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"type": "MODEL",
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"links": [
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]
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},
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{
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"dir": 4,
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"name": "CLIP",
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"shape": 3,
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"type": "CLIP",
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"links": null
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}
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],
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"title": "HIGH LORA LOADER",
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"properties": {
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"cnr_id": "rgthree-comfy",
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"ver": "944d5353a1b0a668f40844018c3dc956b95a67d7",
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"Show Strengths": "Single Strength",
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"aux_id": "rgthree/rgthree-comfy",
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"widget_ue_connectable": {}
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},
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"widgets_values": [
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{},
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{
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"type": "PowerLoraLoaderHeaderWidget"
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},
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{},
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""
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],
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"color": "#223",
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"bgcolor": "#335"
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},
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{
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"id": 110,
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"type": "Power Lora Loader (rgthree)",
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"pos": [
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243.9043973136815
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],
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"size": [
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394.0889587402344,
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],
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"flags": {},
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"order": 29,
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"mode": 0,
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"inputs": [
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{
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"
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"
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"type": "
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"link":
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},
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{
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"
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"
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"type": "
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"link": null
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}
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],
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"outputs": [
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{
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-
"
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"
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"shape": 3,
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"type": "MODEL",
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"links": [
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361
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]
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},
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{
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"dir": 4,
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"name": "CLIP",
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"shape": 3,
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"type": "CLIP",
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"links": null
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}
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],
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"title": "LOW LORA LOADER",
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"properties": {
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"cnr_id": "
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"ver": "
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"
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"aux_id": "
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"widget_ue_connectable": {}
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},
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"widgets_values":
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""
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},
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{
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"id":
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"type": "
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"pos": [
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],
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"size": [
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"flags": {},
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"order":
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"mode":
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"inputs": [
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{
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"name": "
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"type": "CLIP",
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"link": 427
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},
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{
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"name": "image",
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"type": "IMAGE",
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"link":
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},
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{
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"link":
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{
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"name": "vae",
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"type": "VAE",
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"type": "INT",
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"widget": {
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"name": "length"
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@@ -2083,294 +2194,184 @@
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"bgcolor": "#353"
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},
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{
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"size": [
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"flags": {},
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"inputs": [
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"name": "audio",
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"shape": 7,
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"type": "AUDIO",
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},
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{
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@@ -2391,7 +2392,7 @@
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| 2391 |
"title": "QWEN3-VL GGUF",
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| 2392 |
"properties": {},
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"widgets_values": [
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| 2394 |
-
"## 🔖 To use the Qwen3-VL GGUF Quantized models you have to install *llama-cpp-python*\n\n\n**🛑 STOP COMFYUI**\n\n**📂 Activate the ComfyUI Virtual Enviroment**\n\nIn your ComfyUI root installation folder type:\non Windows:\n\nCommand Prompt:\n```\n\\venv\\Scripts\\activate.bat\n```\nor Power Shell:\n```\n\\venv\\Scripts\\Activate.ps1\n```\non Linux:\n```\n. /venv/bin/activate\n```\n**⬇️ Install llama-cpp-python**\n```\npip install \"llama-cpp-python @ git+https://github.com/JamePeng/llama-cpp-python.git\"\n```\n**🔄 Restart ComfyUI and enjoy**\n\n"
|
| 2395 |
],
|
| 2396 |
"color": "#2a363b",
|
| 2397 |
"bgcolor": "#3f5159"
|
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@@ -3499,7 +3500,7 @@
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},
|
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"widgets_values": [
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"enable",
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| 3502 |
-
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"randomize",
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| 3504 |
5,
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1,
|
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@@ -3750,7 +3751,7 @@
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| 3750 |
0,
|
| 3751 |
4194304,
|
| 3752 |
true,
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| 3753 |
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| 3755 |
],
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"color": "#474539",
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@@ -3832,7 +3833,7 @@
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| 3832 |
"widget_ue_connectable": {}
|
| 3833 |
},
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| 3834 |
"widgets_values": [
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| 3836 |
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"bgcolor": "#353",
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@@ -4245,7 +4246,7 @@
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| 4245 |
},
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| 4246 |
"config": {},
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"frontendVersion": "1.
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@@ -4254,10 +4255,10 @@
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"ue_links": [],
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"links_added_by_ue": [],
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"ds": {
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}
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},
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}
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},
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| 50 |
"widgets_values": [
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+
"061417_00001_.png",
|
| 52 |
"image"
|
| 53 |
],
|
| 54 |
"color": "#232",
|
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| 815 |
"collapsed": true
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| 816 |
},
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| 817 |
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{
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| 821 |
"name": "model",
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"color": "#233",
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{
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{
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"name": "images",
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"type": "IMAGE",
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"link": 434
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| 1734 |
},
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| 1735 |
{
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"name": "audio",
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| 1737 |
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"shape": 7,
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"type": "AUDIO",
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{
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"type": "VAE",
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}
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],
|
| 1754 |
"outputs": [
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| 1755 |
{
|
| 1756 |
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"name": "Filenames",
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| 1757 |
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"type": "VHS_FILENAMES",
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"properties": {
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"aux_id": "Kosinkadink/ComfyUI-VideoHelperSuite",
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"type": "CLIP",
|
| 2304 |
+
"links": null
|
| 2305 |
}
|
| 2306 |
],
|
| 2307 |
+
"title": "LOW LORA LOADER",
|
| 2308 |
"properties": {
|
| 2309 |
+
"cnr_id": "rgthree-comfy",
|
| 2310 |
+
"ver": "944d5353a1b0a668f40844018c3dc956b95a67d7",
|
| 2311 |
+
"Show Strengths": "Single Strength",
|
| 2312 |
+
"aux_id": "rgthree/rgthree-comfy",
|
| 2313 |
+
"widget_ue_connectable": {}
|
| 2314 |
},
|
| 2315 |
"widgets_values": [
|
| 2316 |
+
{},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2317 |
{
|
| 2318 |
+
"type": "PowerLoraLoaderHeaderWidget"
|
|
|
|
|
|
|
| 2319 |
},
|
| 2320 |
+
{},
|
| 2321 |
+
""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2322 |
],
|
| 2323 |
+
"color": "#2a363b",
|
| 2324 |
+
"bgcolor": "#3f5159"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2325 |
},
|
| 2326 |
{
|
| 2327 |
+
"id": 168,
|
| 2328 |
+
"type": "ModelPatchTorchSettings",
|
| 2329 |
"pos": [
|
| 2330 |
+
-1059.081610016406,
|
| 2331 |
+
116.45887946938701
|
| 2332 |
],
|
| 2333 |
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|
| 2334 |
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252.095703125,
|
| 2335 |
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34
|
| 2336 |
],
|
| 2337 |
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|
| 2338 |
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|
| 2339 |
},
|
| 2340 |
+
"order": 37,
|
| 2341 |
+
"mode": 4,
|
| 2342 |
"inputs": [
|
| 2343 |
{
|
| 2344 |
+
"name": "model",
|
| 2345 |
+
"type": "MODEL",
|
| 2346 |
+
"link": 357
|
| 2347 |
}
|
| 2348 |
],
|
| 2349 |
"outputs": [
|
| 2350 |
{
|
| 2351 |
+
"name": "MODEL",
|
| 2352 |
+
"type": "MODEL",
|
| 2353 |
"links": [
|
| 2354 |
+
358
|
|
|
|
|
|
|
| 2355 |
]
|
| 2356 |
}
|
| 2357 |
],
|
| 2358 |
"properties": {
|
| 2359 |
+
"cnr_id": "comfyui-kjnodes",
|
| 2360 |
+
"ver": "a6b867b63a29ca48ddb15c589e17a9f2d8530d57",
|
| 2361 |
+
"Node name for S&R": "ModelPatchTorchSettings",
|
| 2362 |
+
"aux_id": "kijai/ComfyUI-KJNodes",
|
| 2363 |
+
"ue_properties": {
|
| 2364 |
+
"version": "7.0.1",
|
| 2365 |
+
"widget_ue_connectable": {
|
| 2366 |
+
"enable_fp16_accumulation": true
|
| 2367 |
+
}
|
| 2368 |
+
}
|
| 2369 |
},
|
| 2370 |
"widgets_values": [
|
| 2371 |
+
true
|
|
|
|
| 2372 |
],
|
| 2373 |
+
"color": "#233",
|
| 2374 |
+
"bgcolor": "#355"
|
| 2375 |
},
|
| 2376 |
{
|
| 2377 |
"id": 189,
|
|
|
|
| 2392 |
"title": "QWEN3-VL GGUF",
|
| 2393 |
"properties": {},
|
| 2394 |
"widgets_values": [
|
| 2395 |
+
"## 🔖 To use the Qwen3-VL GGUF Quantized models you have to install *llama-cpp-python*\n\n\n**🛑 STOP COMFYUI**\n\n**📂 Activate the ComfyUI Virtual Enviroment**\n\nIn your ComfyUI root installation folder type:\non Windows:\n\nCommand Prompt:\n```\n\\venv\\Scripts\\activate.bat\n```\nor Power Shell:\n```\n\\venv\\Scripts\\Activate.ps1\n```\non Linux:\n```\n. /venv/bin/activate\n```\n**⬇️ Install llama-cpp-python**\n```\npip install --upgrade --force-reinstall --no-cache-dir \"llama-cpp-python @ git+https://github.com/JamePeng/llama-cpp-python.git\"\n```\n**🔄 Restart ComfyUI and enjoy**\n\n"
|
| 2396 |
],
|
| 2397 |
"color": "#2a363b",
|
| 2398 |
"bgcolor": "#3f5159"
|
|
|
|
| 3500 |
},
|
| 3501 |
"widgets_values": [
|
| 3502 |
"enable",
|
| 3503 |
+
188628917927002,
|
| 3504 |
"randomize",
|
| 3505 |
5,
|
| 3506 |
1,
|
|
|
|
| 3751 |
0,
|
| 3752 |
4194304,
|
| 3753 |
true,
|
| 3754 |
+
410730734,
|
| 3755 |
"randomize"
|
| 3756 |
],
|
| 3757 |
"color": "#474539",
|
|
|
|
| 3833 |
"widget_ue_connectable": {}
|
| 3834 |
},
|
| 3835 |
"widgets_values": [
|
| 3836 |
+
"she grabs her breasts with both hands and pinches her nipples with her fingers"
|
| 3837 |
],
|
| 3838 |
"color": "#232",
|
| 3839 |
"bgcolor": "#353",
|
|
|
|
| 4246 |
},
|
| 4247 |
"config": {},
|
| 4248 |
"extra": {
|
| 4249 |
+
"frontendVersion": "1.37.11",
|
| 4250 |
"workflowRendererVersion": "LG",
|
| 4251 |
"VHS_latentpreview": false,
|
| 4252 |
"VHS_latentpreviewrate": 0,
|
|
|
|
| 4255 |
"ue_links": [],
|
| 4256 |
"links_added_by_ue": [],
|
| 4257 |
"ds": {
|
| 4258 |
+
"scale": 1.1961285591518127,
|
| 4259 |
"offset": [
|
| 4260 |
+
2812.5658822686055,
|
| 4261 |
+
-365.94843719650345
|
| 4262 |
]
|
| 4263 |
}
|
| 4264 |
},
|
workflows/WAN2.2-I2V-AutoPrompt-SingleVideo.json
CHANGED
|
@@ -48,7 +48,7 @@
|
|
| 48 |
}
|
| 49 |
},
|
| 50 |
"widgets_values": [
|
| 51 |
-
"
|
| 52 |
"image"
|
| 53 |
],
|
| 54 |
"color": "#232",
|
|
@@ -63,7 +63,7 @@
|
|
| 63 |
],
|
| 64 |
"size": [
|
| 65 |
477.292724609375,
|
| 66 |
-
|
| 67 |
],
|
| 68 |
"flags": {},
|
| 69 |
"order": 38,
|
|
@@ -132,13 +132,13 @@
|
|
| 132 |
"hidden": false,
|
| 133 |
"paused": false,
|
| 134 |
"params": {
|
| 135 |
-
"filename": "
|
| 136 |
-
"subfolder": "2026-01-
|
| 137 |
"type": "output",
|
| 138 |
"format": "video/h264-mp4",
|
| 139 |
"frame_rate": 16,
|
| 140 |
-
"workflow": "
|
| 141 |
-
"fullpath": "/workspace/ComfyUI/output/2026-01-
|
| 142 |
}
|
| 143 |
}
|
| 144 |
},
|
|
@@ -160,7 +160,7 @@
|
|
| 160 |
"flags": {
|
| 161 |
"collapsed": true
|
| 162 |
},
|
| 163 |
-
"order":
|
| 164 |
"mode": 0,
|
| 165 |
"inputs": [
|
| 166 |
{
|
|
@@ -200,7 +200,7 @@
|
|
| 200 |
"flags": {
|
| 201 |
"collapsed": true
|
| 202 |
},
|
| 203 |
-
"order":
|
| 204 |
"mode": 0,
|
| 205 |
"inputs": [
|
| 206 |
{
|
|
@@ -240,7 +240,7 @@
|
|
| 240 |
"flags": {
|
| 241 |
"collapsed": true
|
| 242 |
},
|
| 243 |
-
"order":
|
| 244 |
"mode": 0,
|
| 245 |
"inputs": [
|
| 246 |
{
|
|
@@ -301,8 +301,8 @@
|
|
| 301 |
"flags": {
|
| 302 |
"collapsed": true
|
| 303 |
},
|
| 304 |
-
"order":
|
| 305 |
-
"mode":
|
| 306 |
"inputs": [
|
| 307 |
{
|
| 308 |
"name": "model",
|
|
@@ -351,7 +351,7 @@
|
|
| 351 |
"flags": {
|
| 352 |
"collapsed": true
|
| 353 |
},
|
| 354 |
-
"order":
|
| 355 |
"mode": 0,
|
| 356 |
"inputs": [
|
| 357 |
{
|
|
@@ -398,56 +398,6 @@
|
|
| 398 |
"color": "#233",
|
| 399 |
"bgcolor": "#355"
|
| 400 |
},
|
| 401 |
-
{
|
| 402 |
-
"id": 168,
|
| 403 |
-
"type": "ModelPatchTorchSettings",
|
| 404 |
-
"pos": [
|
| 405 |
-
-1059.081610016406,
|
| 406 |
-
116.45887946938701
|
| 407 |
-
],
|
| 408 |
-
"size": [
|
| 409 |
-
252.095703125,
|
| 410 |
-
34
|
| 411 |
-
],
|
| 412 |
-
"flags": {
|
| 413 |
-
"collapsed": true
|
| 414 |
-
},
|
| 415 |
-
"order": 34,
|
| 416 |
-
"mode": 0,
|
| 417 |
-
"inputs": [
|
| 418 |
-
{
|
| 419 |
-
"name": "model",
|
| 420 |
-
"type": "MODEL",
|
| 421 |
-
"link": 357
|
| 422 |
-
}
|
| 423 |
-
],
|
| 424 |
-
"outputs": [
|
| 425 |
-
{
|
| 426 |
-
"name": "MODEL",
|
| 427 |
-
"type": "MODEL",
|
| 428 |
-
"links": [
|
| 429 |
-
358
|
| 430 |
-
]
|
| 431 |
-
}
|
| 432 |
-
],
|
| 433 |
-
"properties": {
|
| 434 |
-
"cnr_id": "comfyui-kjnodes",
|
| 435 |
-
"ver": "a6b867b63a29ca48ddb15c589e17a9f2d8530d57",
|
| 436 |
-
"Node name for S&R": "ModelPatchTorchSettings",
|
| 437 |
-
"aux_id": "kijai/ComfyUI-KJNodes",
|
| 438 |
-
"ue_properties": {
|
| 439 |
-
"version": "7.0.1",
|
| 440 |
-
"widget_ue_connectable": {
|
| 441 |
-
"enable_fp16_accumulation": true
|
| 442 |
-
}
|
| 443 |
-
}
|
| 444 |
-
},
|
| 445 |
-
"widgets_values": [
|
| 446 |
-
true
|
| 447 |
-
],
|
| 448 |
-
"color": "#233",
|
| 449 |
-
"bgcolor": "#355"
|
| 450 |
-
},
|
| 451 |
{
|
| 452 |
"id": 171,
|
| 453 |
"type": "SetNode",
|
|
@@ -462,7 +412,7 @@
|
|
| 462 |
"flags": {
|
| 463 |
"collapsed": true
|
| 464 |
},
|
| 465 |
-
"order":
|
| 466 |
"mode": 0,
|
| 467 |
"inputs": [
|
| 468 |
{
|
|
@@ -502,7 +452,7 @@
|
|
| 502 |
"flags": {
|
| 503 |
"collapsed": true
|
| 504 |
},
|
| 505 |
-
"order":
|
| 506 |
"mode": 0,
|
| 507 |
"inputs": [
|
| 508 |
{
|
|
@@ -540,7 +490,7 @@
|
|
| 540 |
58
|
| 541 |
],
|
| 542 |
"flags": {},
|
| 543 |
-
"order":
|
| 544 |
"mode": 0,
|
| 545 |
"inputs": [
|
| 546 |
{
|
|
@@ -585,7 +535,7 @@
|
|
| 585 |
58
|
| 586 |
],
|
| 587 |
"flags": {},
|
| 588 |
-
"order":
|
| 589 |
"mode": 0,
|
| 590 |
"inputs": [
|
| 591 |
{
|
|
@@ -886,7 +836,7 @@
|
|
| 886 |
"flags": {
|
| 887 |
"collapsed": true
|
| 888 |
},
|
| 889 |
-
"order":
|
| 890 |
"mode": 0,
|
| 891 |
"inputs": [
|
| 892 |
{
|
|
@@ -910,41 +860,6 @@
|
|
| 910 |
"sam"
|
| 911 |
]
|
| 912 |
},
|
| 913 |
-
{
|
| 914 |
-
"id": 177,
|
| 915 |
-
"type": "SamplerSelector",
|
| 916 |
-
"pos": [
|
| 917 |
-
-1570.488252837444,
|
| 918 |
-
1811.5336079516592
|
| 919 |
-
],
|
| 920 |
-
"size": [
|
| 921 |
-
251.9406031415583,
|
| 922 |
-
58
|
| 923 |
-
],
|
| 924 |
-
"flags": {},
|
| 925 |
-
"order": 7,
|
| 926 |
-
"mode": 0,
|
| 927 |
-
"inputs": [],
|
| 928 |
-
"outputs": [
|
| 929 |
-
{
|
| 930 |
-
"name": "sampler_name",
|
| 931 |
-
"type": "COMBO",
|
| 932 |
-
"links": [
|
| 933 |
-
376
|
| 934 |
-
]
|
| 935 |
-
}
|
| 936 |
-
],
|
| 937 |
-
"properties": {
|
| 938 |
-
"aux_id": "ComfyAssets/ComfyUI_Selectors",
|
| 939 |
-
"ver": "4def337a9f18350c6b8e873818fa8b04a235c39b",
|
| 940 |
-
"Node name for S&R": "SamplerSelector"
|
| 941 |
-
},
|
| 942 |
-
"widgets_values": [
|
| 943 |
-
"euler"
|
| 944 |
-
],
|
| 945 |
-
"color": "#233",
|
| 946 |
-
"bgcolor": "#355"
|
| 947 |
-
},
|
| 948 |
{
|
| 949 |
"id": 176,
|
| 950 |
"type": "SetNode",
|
|
@@ -959,7 +874,7 @@
|
|
| 959 |
"flags": {
|
| 960 |
"collapsed": true
|
| 961 |
},
|
| 962 |
-
"order":
|
| 963 |
"mode": 0,
|
| 964 |
"inputs": [
|
| 965 |
{
|
|
@@ -983,41 +898,6 @@
|
|
| 983 |
"scheduler"
|
| 984 |
]
|
| 985 |
},
|
| 986 |
-
{
|
| 987 |
-
"id": 178,
|
| 988 |
-
"type": "SchedulerSelector",
|
| 989 |
-
"pos": [
|
| 990 |
-
-1567.1945576712178,
|
| 991 |
-
1970.789599494869
|
| 992 |
-
],
|
| 993 |
-
"size": [
|
| 994 |
-
241.2297660113204,
|
| 995 |
-
58
|
| 996 |
-
],
|
| 997 |
-
"flags": {},
|
| 998 |
-
"order": 8,
|
| 999 |
-
"mode": 0,
|
| 1000 |
-
"inputs": [],
|
| 1001 |
-
"outputs": [
|
| 1002 |
-
{
|
| 1003 |
-
"name": "scheduler",
|
| 1004 |
-
"type": "COMBO",
|
| 1005 |
-
"links": [
|
| 1006 |
-
377
|
| 1007 |
-
]
|
| 1008 |
-
}
|
| 1009 |
-
],
|
| 1010 |
-
"properties": {
|
| 1011 |
-
"aux_id": "ComfyAssets/ComfyUI_Selectors",
|
| 1012 |
-
"ver": "4def337a9f18350c6b8e873818fa8b04a235c39b",
|
| 1013 |
-
"Node name for S&R": "SchedulerSelector"
|
| 1014 |
-
},
|
| 1015 |
-
"widgets_values": [
|
| 1016 |
-
"simple"
|
| 1017 |
-
],
|
| 1018 |
-
"color": "#233",
|
| 1019 |
-
"bgcolor": "#355"
|
| 1020 |
-
},
|
| 1021 |
{
|
| 1022 |
"id": 179,
|
| 1023 |
"type": "GetNode",
|
|
@@ -1032,7 +912,7 @@
|
|
| 1032 |
"flags": {
|
| 1033 |
"collapsed": true
|
| 1034 |
},
|
| 1035 |
-
"order":
|
| 1036 |
"mode": 0,
|
| 1037 |
"inputs": [],
|
| 1038 |
"outputs": [
|
|
@@ -1064,7 +944,7 @@
|
|
| 1064 |
"flags": {
|
| 1065 |
"collapsed": true
|
| 1066 |
},
|
| 1067 |
-
"order":
|
| 1068 |
"mode": 0,
|
| 1069 |
"inputs": [],
|
| 1070 |
"outputs": [
|
|
@@ -1169,7 +1049,7 @@
|
|
| 1169 |
82
|
| 1170 |
],
|
| 1171 |
"flags": {},
|
| 1172 |
-
"order":
|
| 1173 |
"mode": 4,
|
| 1174 |
"inputs": [],
|
| 1175 |
"outputs": [
|
|
@@ -1208,7 +1088,7 @@
|
|
| 1208 |
82
|
| 1209 |
],
|
| 1210 |
"flags": {},
|
| 1211 |
-
"order":
|
| 1212 |
"mode": 4,
|
| 1213 |
"inputs": [],
|
| 1214 |
"outputs": [
|
|
@@ -1441,7 +1321,7 @@
|
|
| 1441 |
130
|
| 1442 |
],
|
| 1443 |
"flags": {},
|
| 1444 |
-
"order":
|
| 1445 |
"mode": 0,
|
| 1446 |
"inputs": [],
|
| 1447 |
"outputs": [
|
|
@@ -1475,7 +1355,7 @@
|
|
| 1475 |
60
|
| 1476 |
],
|
| 1477 |
"flags": {},
|
| 1478 |
-
"order":
|
| 1479 |
"mode": 0,
|
| 1480 |
"inputs": [],
|
| 1481 |
"outputs": [
|
|
@@ -1752,42 +1632,6 @@
|
|
| 1752 |
"bgcolor": "#355",
|
| 1753 |
"shape": 2
|
| 1754 |
},
|
| 1755 |
-
{
|
| 1756 |
-
"id": 182,
|
| 1757 |
-
"type": "UnetLoaderGGUF",
|
| 1758 |
-
"pos": [
|
| 1759 |
-
-1830,
|
| 1760 |
-
-80
|
| 1761 |
-
],
|
| 1762 |
-
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| 1970 |
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|
|
@@ -1982,7 +1951,7 @@
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|
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365.57958984375
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| 1983 |
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| 1987 |
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| 1988 |
{
|
|
@@ -2018,9 +1987,10 @@
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|
| 2018 |
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|
| 2019 |
"title": "LOW LORA LOADER",
|
| 2020 |
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| 2021 |
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"
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| 2022 |
"ver": "944d5353a1b0a668f40844018c3dc956b95a67d7",
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| 2036 |
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|
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|
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|
| 3836 |
"outputs": [
|
| 3837 |
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|
| 3838 |
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|
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|
| 3840 |
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|
| 3841 |
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|
| 3842 |
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|
| 3844 |
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| 3845 |
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|
| 3846 |
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| 3847 |
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"title": "System Prompt for Qwen3-VL",
|
| 3848 |
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|
| 3849 |
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|
| 3850 |
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| 3854 |
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| 3855 |
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"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 3856 |
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],
|
| 3857 |
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"color": "#432",
|
| 3858 |
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|
| 3859 |
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|
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| 3861 |
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| 4176 |
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workflows/WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-GGUF.json
CHANGED
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@@ -4993,12 +4981,6 @@
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| 4994 |
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@@ -5153,12 +5135,6 @@
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| 5159 |
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@@ -5310,12 +5286,6 @@
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| 5310 |
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| 5311 |
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{
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| 5314 |
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|
| 5316 |
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|
| 5317 |
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|
| 5318 |
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|
| 5319 |
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| 5321 |
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@@ -5381,12 +5351,6 @@
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| 5381 |
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| 5382 |
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|
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| 5384 |
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{
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| 5385 |
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"on": true,
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| 5386 |
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| 5387 |
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"strength": 0.8,
|
| 5388 |
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"strengthTwo": null
|
| 5389 |
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},
|
| 5390 |
{},
|
| 5391 |
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|
| 5392 |
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|
@@ -5452,12 +5416,6 @@
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| 5453 |
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|
| 5454 |
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{
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| 5456 |
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| 5458 |
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|
| 5459 |
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|
| 5460 |
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|
| 5461 |
{},
|
| 5462 |
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|
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|
@@ -5523,12 +5481,6 @@
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|
@@ -6031,517 +5983,445 @@
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| 6031 |
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|
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{
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| 6077 |
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|
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| 6080 |
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| 6136 |
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[
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| 6233 |
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|
| 6234 |
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|
| 6235 |
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| 6236 |
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| 6237 |
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| 6290 |
-
"name": "image_1",
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| 6291 |
-
"type": "IMAGE",
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| 6292 |
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| 6295 |
-
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| 6296 |
-
"name": "model",
|
| 6297 |
-
"type": "MODEL",
|
| 6298 |
-
"link": 4879
|
| 6299 |
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|
| 6300 |
{
|
| 6301 |
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|
| 6302 |
-
"name": "model_1",
|
| 6303 |
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| 6304 |
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| 6305 |
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|
| 6306 |
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|
| 6307 |
-
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|
| 6308 |
-
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| 6309 |
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| 6310 |
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| 6311 |
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| 6312 |
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| 6313 |
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| 6315 |
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| 6316 |
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| 6317 |
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| 6320 |
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| 6321 |
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| 6322 |
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|
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| 6324 |
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| 6325 |
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| 6326 |
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| 6327 |
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| 6328 |
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| 6329 |
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| 6330 |
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|
| 6331 |
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| 6332 |
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| 6333 |
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| 6336 |
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| 6337 |
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| 6338 |
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|
| 6339 |
-
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|
| 6340 |
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|
| 6341 |
-
"name": "motion_frames",
|
| 6342 |
-
"type": "INT",
|
| 6343 |
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"widget": {
|
| 6344 |
-
"name": "motion_frames"
|
| 6345 |
-
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|
| 6346 |
-
"link": 4886
|
| 6347 |
-
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|
| 6348 |
-
{
|
| 6349 |
-
"name": "motion_amplitude",
|
| 6350 |
-
"type": "FLOAT",
|
| 6351 |
-
"widget": {
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| 6352 |
-
"name": "motion_amplitude"
|
| 6353 |
-
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|
| 6354 |
-
"link": 4887
|
| 6355 |
-
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|
| 6356 |
-
{
|
| 6357 |
-
"name": "clip",
|
| 6358 |
-
"type": "CLIP",
|
| 6359 |
-
"link": 4888
|
| 6360 |
-
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|
| 6361 |
-
{
|
| 6362 |
-
"name": "steps",
|
| 6363 |
-
"type": "INT",
|
| 6364 |
-
"widget": {
|
| 6365 |
-
"name": "steps"
|
| 6366 |
-
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|
| 6367 |
-
"link": 4999
|
| 6368 |
-
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|
| 6369 |
-
{
|
| 6370 |
-
"label": "second_steps",
|
| 6371 |
-
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|
| 6372 |
-
"type": "INT",
|
| 6373 |
-
"widget": {
|
| 6374 |
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"name": "end_at_step"
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| 6375 |
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|
| 6376 |
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"link": 5000
|
| 6377 |
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| 6378 |
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{
|
| 6379 |
-
"name": "sampler_name",
|
| 6380 |
-
"type": "COMBO",
|
| 6381 |
-
"widget": {
|
| 6382 |
-
"name": "sampler_name"
|
| 6383 |
-
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|
| 6384 |
-
"link": 5330
|
| 6385 |
-
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|
| 6386 |
-
{
|
| 6387 |
-
"name": "scheduler",
|
| 6388 |
-
"type": "COMBO",
|
| 6389 |
-
"widget": {
|
| 6390 |
-
"name": "scheduler"
|
| 6391 |
-
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|
| 6392 |
-
"link": 5331
|
| 6393 |
}
|
| 6394 |
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|
| 6395 |
"outputs": [
|
| 6396 |
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| 6397 |
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"name": "
|
| 6398 |
-
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| 6399 |
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|
| 6400 |
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5039
|
| 6401 |
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| 6402 |
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| 6403 |
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{
|
| 6404 |
-
"label": "Preview",
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| 6405 |
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"name": "IMAGE",
|
| 6406 |
-
"type": "IMAGE",
|
| 6407 |
"links": [
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| 6408 |
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|
| 6409 |
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|
| 6410 |
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|
| 6411 |
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|
| 6412 |
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| 6418 |
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| 6419 |
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| 6420 |
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|
| 6421 |
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|
| 6422 |
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|
| 6423 |
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|
| 6424 |
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| 6425 |
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| 6426 |
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| 6427 |
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| 6428 |
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| 6429 |
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| 6430 |
-
|
| 6431 |
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|
| 6432 |
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|
| 6433 |
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|
| 6434 |
-
|
| 6435 |
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|
| 6436 |
-
|
| 6437 |
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|
| 6438 |
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|
| 6439 |
-
|
| 6440 |
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|
| 6441 |
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|
| 6442 |
-
[
|
| 6443 |
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|
| 6444 |
-
"sampler_name"
|
| 6445 |
-
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|
| 6446 |
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[
|
| 6447 |
-
"-1",
|
| 6448 |
-
"scheduler"
|
| 6449 |
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|
| 6450 |
-
[
|
| 6451 |
-
"1267",
|
| 6452 |
-
"value"
|
| 6453 |
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|
| 6454 |
-
[
|
| 6455 |
-
"1269",
|
| 6456 |
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"text"
|
| 6457 |
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|
| 6458 |
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[
|
| 6459 |
-
"308",
|
| 6460 |
-
"seed"
|
| 6461 |
-
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|
| 6462 |
-
[
|
| 6463 |
-
"308",
|
| 6464 |
-
"🎲 Randomize Each Time"
|
| 6465 |
-
],
|
| 6466 |
-
[
|
| 6467 |
-
"308",
|
| 6468 |
-
"🎲 New Fixed Random"
|
| 6469 |
-
],
|
| 6470 |
-
[
|
| 6471 |
-
"1277",
|
| 6472 |
-
"control_after_generate"
|
| 6473 |
-
],
|
| 6474 |
-
[
|
| 6475 |
-
"1277",
|
| 6476 |
-
"seed"
|
| 6477 |
-
],
|
| 6478 |
-
[
|
| 6479 |
-
"1277",
|
| 6480 |
-
"preset_prompt"
|
| 6481 |
-
],
|
| 6482 |
-
[
|
| 6483 |
-
"1277",
|
| 6484 |
-
"model_name"
|
| 6485 |
]
|
| 6486 |
-
|
| 6487 |
-
|
| 6488 |
-
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6489 |
},
|
| 6490 |
"widgets_values": [
|
| 6491 |
5,
|
| 6492 |
-
2,
|
| 6493 |
-
"euler",
|
| 6494 |
-
"simple",
|
| 6495 |
-
1.15,
|
| 6496 |
5,
|
|
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|
|
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|
| 6497 |
2,
|
| 6498 |
-
|
| 6499 |
-
|
| 6500 |
],
|
| 6501 |
-
"color": "#
|
| 6502 |
-
"bgcolor": "#
|
| 6503 |
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| 6504 |
{
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| 6505 |
-
"id":
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| 6506 |
-
"type": "
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| 6507 |
"pos": [
|
| 6508 |
-
|
| 6509 |
-
|
| 6510 |
],
|
| 6511 |
"size": [
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| 6512 |
-
|
| 6513 |
-
|
| 6514 |
],
|
| 6515 |
"flags": {},
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| 6516 |
-
"order":
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| 6517 |
-
"mode":
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|
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|
| 6518 |
"inputs": [
|
| 6519 |
{
|
| 6520 |
-
"name": "
|
| 6521 |
-
"type": "
|
| 6522 |
-
"link":
|
| 6523 |
},
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|
| 6524 |
{
|
| 6525 |
"label": "model_h",
|
| 6526 |
"name": "model",
|
| 6527 |
"type": "MODEL",
|
| 6528 |
-
"link":
|
| 6529 |
},
|
| 6530 |
{
|
| 6531 |
"label": "model_l",
|
| 6532 |
"name": "model_1",
|
| 6533 |
"type": "MODEL",
|
| 6534 |
-
"link":
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|
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|
| 6535 |
},
|
| 6536 |
{
|
| 6537 |
"name": "vae",
|
| 6538 |
"type": "VAE",
|
| 6539 |
-
"link":
|
| 6540 |
},
|
| 6541 |
{
|
| 6542 |
-
"name": "
|
| 6543 |
"type": "IMAGE",
|
| 6544 |
-
"link":
|
| 6545 |
},
|
| 6546 |
{
|
| 6547 |
"name": "width",
|
|
@@ -6549,7 +6429,7 @@
|
|
| 6549 |
"widget": {
|
| 6550 |
"name": "width"
|
| 6551 |
},
|
| 6552 |
-
"link":
|
| 6553 |
},
|
| 6554 |
{
|
| 6555 |
"name": "height",
|
|
@@ -6557,7 +6437,7 @@
|
|
| 6557 |
"widget": {
|
| 6558 |
"name": "height"
|
| 6559 |
},
|
| 6560 |
-
"link":
|
| 6561 |
},
|
| 6562 |
{
|
| 6563 |
"name": "length",
|
|
@@ -6565,15 +6445,7 @@
|
|
| 6565 |
"widget": {
|
| 6566 |
"name": "length"
|
| 6567 |
},
|
| 6568 |
-
"link":
|
| 6569 |
-
},
|
| 6570 |
-
{
|
| 6571 |
-
"name": "motion_frames",
|
| 6572 |
-
"type": "INT",
|
| 6573 |
-
"widget": {
|
| 6574 |
-
"name": "motion_frames"
|
| 6575 |
-
},
|
| 6576 |
-
"link": 5051
|
| 6577 |
},
|
| 6578 |
{
|
| 6579 |
"name": "motion_amplitude",
|
|
@@ -6581,12 +6453,15 @@
|
|
| 6581 |
"widget": {
|
| 6582 |
"name": "motion_amplitude"
|
| 6583 |
},
|
| 6584 |
-
"link":
|
| 6585 |
},
|
| 6586 |
{
|
| 6587 |
-
"name": "
|
| 6588 |
-
"type": "
|
| 6589 |
-
"
|
|
|
|
|
|
|
|
|
|
| 6590 |
},
|
| 6591 |
{
|
| 6592 |
"name": "steps",
|
|
@@ -6594,16 +6469,15 @@
|
|
| 6594 |
"widget": {
|
| 6595 |
"name": "steps"
|
| 6596 |
},
|
| 6597 |
-
"link":
|
| 6598 |
},
|
| 6599 |
{
|
| 6600 |
-
"
|
| 6601 |
-
"name": "end_at_step",
|
| 6602 |
"type": "INT",
|
| 6603 |
"widget": {
|
| 6604 |
-
"name": "
|
| 6605 |
},
|
| 6606 |
-
"link":
|
| 6607 |
},
|
| 6608 |
{
|
| 6609 |
"name": "sampler_name",
|
|
@@ -6611,7 +6485,7 @@
|
|
| 6611 |
"widget": {
|
| 6612 |
"name": "sampler_name"
|
| 6613 |
},
|
| 6614 |
-
"link":
|
| 6615 |
},
|
| 6616 |
{
|
| 6617 |
"name": "scheduler",
|
|
@@ -6619,23 +6493,30 @@
|
|
| 6619 |
"widget": {
|
| 6620 |
"name": "scheduler"
|
| 6621 |
},
|
| 6622 |
-
"link":
|
| 6623 |
}
|
| 6624 |
],
|
| 6625 |
"outputs": [
|
| 6626 |
{
|
| 6627 |
-
"name": "
|
| 6628 |
-
"type": "
|
| 6629 |
"links": [
|
| 6630 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6631 |
]
|
| 6632 |
},
|
| 6633 |
{
|
| 6634 |
-
"label": "Preview",
|
| 6635 |
"name": "IMAGE",
|
| 6636 |
"type": "IMAGE",
|
| 6637 |
"links": [
|
| 6638 |
-
|
|
|
|
| 6639 |
]
|
| 6640 |
}
|
| 6641 |
],
|
|
@@ -6655,11 +6536,11 @@
|
|
| 6655 |
],
|
| 6656 |
[
|
| 6657 |
"-1",
|
| 6658 |
-
"
|
| 6659 |
],
|
| 6660 |
[
|
| 6661 |
"-1",
|
| 6662 |
-
"
|
| 6663 |
],
|
| 6664 |
[
|
| 6665 |
"-1",
|
|
@@ -6667,7 +6548,7 @@
|
|
| 6667 |
],
|
| 6668 |
[
|
| 6669 |
"-1",
|
| 6670 |
-
"
|
| 6671 |
],
|
| 6672 |
[
|
| 6673 |
"-1",
|
|
@@ -6678,39 +6559,39 @@
|
|
| 6678 |
"scheduler"
|
| 6679 |
],
|
| 6680 |
[
|
| 6681 |
-
"
|
| 6682 |
"value"
|
| 6683 |
],
|
| 6684 |
[
|
| 6685 |
-
"
|
| 6686 |
"text"
|
| 6687 |
],
|
| 6688 |
[
|
| 6689 |
-
"
|
| 6690 |
"seed"
|
| 6691 |
],
|
| 6692 |
[
|
| 6693 |
-
"
|
| 6694 |
"🎲 Randomize Each Time"
|
| 6695 |
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| 6696 |
[
|
| 6697 |
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"
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| 6698 |
"🎲 New Fixed Random"
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| 6699 |
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[
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-
"
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"control_after_generate"
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-
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"seed"
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"preset_prompt"
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-
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"model_name"
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2,
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| 6723 |
"euler",
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| 6724 |
"simple",
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| 6725 |
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5,
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| 6727 |
2,
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"euler",
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@@ -6731,47 +6612,47 @@
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{
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@@ -6779,7 +6660,7 @@
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| 6782 |
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| 6785 |
"name": "height",
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@@ -6787,7 +6668,7 @@
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| 6787 |
"widget": {
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| 6788 |
"name": "height"
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| 6789 |
},
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| 6790 |
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"link":
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| 6791 |
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| 6792 |
{
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| 6793 |
"name": "length",
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|
@@ -6795,7 +6676,7 @@
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|
| 6795 |
"widget": {
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| 6796 |
"name": "length"
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| 6797 |
},
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| 6798 |
-
"link":
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| 6799 |
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| 6800 |
{
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| 6801 |
"name": "motion_frames",
|
|
@@ -6803,7 +6684,7 @@
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|
| 6803 |
"widget": {
|
| 6804 |
"name": "motion_frames"
|
| 6805 |
},
|
| 6806 |
-
"link":
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| 6807 |
},
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| 6808 |
{
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| 6809 |
"name": "motion_amplitude",
|
|
@@ -6811,12 +6692,12 @@
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|
| 6811 |
"widget": {
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| 6812 |
"name": "motion_amplitude"
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| 6813 |
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| 6814 |
-
"link":
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| 6815 |
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| 6816 |
{
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| 6817 |
"name": "clip",
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| 6818 |
"type": "CLIP",
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| 6819 |
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"link":
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| 6820 |
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| 6821 |
{
|
| 6822 |
"name": "steps",
|
|
@@ -6824,7 +6705,7 @@
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|
| 6824 |
"widget": {
|
| 6825 |
"name": "steps"
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| 6826 |
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| 6827 |
-
"link":
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| 6828 |
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| 6829 |
{
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| 6830 |
"label": "second_steps",
|
|
@@ -6833,7 +6714,7 @@
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|
| 6833 |
"widget": {
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| 6834 |
"name": "end_at_step"
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| 6835 |
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| 6836 |
-
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| 6837 |
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| 6838 |
{
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| 6839 |
"name": "sampler_name",
|
|
@@ -6841,7 +6722,7 @@
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|
| 6841 |
"widget": {
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| 6842 |
"name": "sampler_name"
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| 6843 |
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| 6844 |
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"link":
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| 6845 |
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| 6846 |
{
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| 6847 |
"name": "scheduler",
|
|
@@ -6849,7 +6730,7 @@
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|
| 6849 |
"widget": {
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| 6850 |
"name": "scheduler"
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| 6851 |
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| 6852 |
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| 6854 |
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| 6855 |
"outputs": [
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|
@@ -6857,7 +6738,7 @@
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|
| 6857 |
"name": "images",
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| 6858 |
"type": "IMAGE",
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| 6859 |
"links": [
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| 6860 |
-
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| 6861 |
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| 6862 |
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| 6863 |
{
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|
@@ -6865,7 +6746,7 @@
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|
| 6865 |
"name": "IMAGE",
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| 6866 |
"type": "IMAGE",
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| 6867 |
"links": [
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| 6868 |
-
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| 6869 |
]
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| 6871 |
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|
@@ -6943,360 +6824,497 @@
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| 6943 |
"1277",
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| 6944 |
"model_name"
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| 6945 |
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"cnr_id": "comfy-core",
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"simple",
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| 6955 |
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1.15,
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| 6956 |
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5,
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| 6957 |
-
2,
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| 6958 |
-
"euler",
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| 6959 |
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"simple"
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| 6960 |
-
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| 6961 |
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"color": "#2a363b",
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| 6962 |
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"bgcolor": "#3f5159"
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| 6963 |
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| 6964 |
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| 6965 |
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"title": "Upscale and Interpolation",
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"## 🔖 To use the Qwen3-VL GGUF Quantized models you have to install *llama-cpp-python*\n\n\n**🛑 STOP COMFYUI**\n\n**📂 Activate the ComfyUI Virtual Enviroment**\n\nIn your ComfyUI root installation folder type:\non Windows:\n\nCommand Prompt:\n```\n\\venv\\Scripts\\activate.bat\n```\nor Power Shell:\n```\n\\venv\\Scripts\\Activate.ps1\n```\non Linux:\n```\n. /venv/bin/activate\n```\n**⬇️ Install llama-cpp-python**\n```\npip install \"llama-cpp-python @ git+https://github.com/JamePeng/llama-cpp-python.git\"\n```\n**🔄 Restart ComfyUI and enjoy**\n\n"
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5390
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"title": "Unet Loader (GGUF) HIGH",
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| 11725 |
-
"bgcolor": "#653",
|
| 11726 |
-
"shape": 2
|
| 11727 |
-
},
|
| 11728 |
{
|
| 11729 |
"id": 1277,
|
| 11730 |
"type": "AILab_QwenVL_GGUF_Advanced",
|
|
@@ -11801,6 +11716,48 @@
|
|
| 11801 |
],
|
| 11802 |
"color": "#474539",
|
| 11803 |
"bgcolor": "#2c4045"
|
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| 11804 |
}
|
| 11805 |
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|
| 11806 |
"groups": [],
|
|
@@ -11810,7 +11767,7 @@
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| 11810 |
"origin_id": 1258,
|
| 11811 |
"origin_slot": 0,
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| 11812 |
"target_id": 1253,
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| 11813 |
-
"target_slot":
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| 11814 |
"type": "IMAGE"
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| 11815 |
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| 11816 |
{
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|
@@ -11898,7 +11855,7 @@
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| 11898 |
"origin_id": -10,
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| 11899 |
"origin_slot": 0,
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| 11900 |
"target_id": 1253,
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| 11901 |
-
"target_slot":
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| 11902 |
"type": "IMAGE"
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| 11903 |
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| 11904 |
{
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|
@@ -12489,7 +12446,7 @@
|
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| 12489 |
],
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| 12490 |
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| 12491 |
270,
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| 12492 |
-
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| 12494 |
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@@ -12497,6 +12454,13 @@
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"mode": 4,
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| 12499 |
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| 12500 |
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"name": "image_1",
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@@ -12513,8 +12477,8 @@
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"name": "
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"type": "IMAGE",
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| 12519 |
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4877
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@@ -12522,10 +12486,10 @@
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"properties": {
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@@ -12533,10 +12497,7 @@
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"bgcolor": "#355"
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| 12542 |
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@@ -13524,7 +13485,7 @@
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| 13524 |
"origin_id": 1258,
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| 13525 |
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@@ -13612,7 +13573,7 @@
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| 13612 |
"origin_id": -10,
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| 13613 |
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270,
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| 14214 |
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4877
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"## 🔖 To use the Qwen3-VL GGUF Quantized models you have to install *llama-cpp-python*\n\n\n**🛑 STOP COMFYUI**\n\n**📂 Activate the ComfyUI Virtual Enviroment**\n\nIn your ComfyUI root installation folder type:\non Windows:\n\nCommand Prompt:\n```\n\\venv\\Scripts\\activate.bat\n```\nor Power Shell:\n```\n\\venv\\Scripts\\Activate.ps1\n```\non Linux:\n```\n. /venv/bin/activate\n```\n**⬇️ Install llama-cpp-python**\n```\npip install --upgrade --force-reinstall --no-cache-dir \"llama-cpp-python @ git+https://github.com/JamePeng/llama-cpp-python.git\"\n```\n**🔄 Restart ComfyUI and enjoy**\n\n"
|
|
|
|
| 7360 |
],
|
| 7361 |
+
"color": "#2a363b",
|
| 7362 |
+
"bgcolor": "#3f5159"
|
| 7363 |
}
|
| 7364 |
],
|
| 7365 |
"links": [
|
|
|
|
| 11528 |
],
|
| 11529 |
"size": [
|
| 11530 |
270,
|
| 11531 |
+
66
|
| 11532 |
],
|
| 11533 |
"flags": {
|
| 11534 |
"collapsed": true
|
|
|
|
| 11536 |
"order": 4,
|
| 11537 |
"mode": 4,
|
| 11538 |
"inputs": [
|
| 11539 |
+
{
|
| 11540 |
+
"label": "image0",
|
| 11541 |
+
"localized_name": "images.image0",
|
| 11542 |
+
"name": "images.image0",
|
| 11543 |
+
"type": "IMAGE",
|
| 11544 |
+
"link": null
|
| 11545 |
+
},
|
| 11546 |
{
|
| 11547 |
"localized_name": "image_1",
|
| 11548 |
"name": "image_1",
|
|
|
|
| 11559 |
],
|
| 11560 |
"outputs": [
|
| 11561 |
{
|
| 11562 |
+
"localized_name": "IMAGE",
|
| 11563 |
+
"name": "IMAGE",
|
| 11564 |
"type": "IMAGE",
|
| 11565 |
"links": [
|
| 11566 |
4877
|
|
|
|
| 11568 |
}
|
| 11569 |
],
|
| 11570 |
"properties": {
|
| 11571 |
+
"aux_id": "kijai/ComfyUI-KJNodes",
|
| 11572 |
"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
|
| 11573 |
"Node name for S&R": "ImageBatchMulti",
|
| 11574 |
+
"cnr_id": "comfyui-kjnodes",
|
| 11575 |
"ue_properties": {
|
| 11576 |
"version": "7.0.1",
|
| 11577 |
"widget_ue_connectable": {
|
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|
| 11579 |
}
|
| 11580 |
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|
| 11581 |
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|
| 11582 |
+
"widgets_values": [],
|
|
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|
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|
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|
|
| 11583 |
"color": "#233",
|
| 11584 |
"bgcolor": "#355"
|
| 11585 |
},
|
|
|
|
| 11640 |
","
|
| 11641 |
]
|
| 11642 |
},
|
|
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|
| 11643 |
{
|
| 11644 |
"id": 1277,
|
| 11645 |
"type": "AILab_QwenVL_GGUF_Advanced",
|
|
|
|
| 11716 |
],
|
| 11717 |
"color": "#474539",
|
| 11718 |
"bgcolor": "#2c4045"
|
| 11719 |
+
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|
| 11720 |
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{
|
| 11721 |
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"id": 1280,
|
| 11722 |
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"type": "PrimitiveStringMultiline",
|
| 11723 |
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"pos": [
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| 11724 |
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|
| 11725 |
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| 11726 |
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"size": [
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| 11731 |
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"flags": {
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|
| 11734 |
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"order": 2,
|
| 11735 |
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"mode": 4,
|
| 11736 |
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"inputs": [],
|
| 11737 |
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"outputs": [
|
| 11738 |
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{
|
| 11739 |
+
"label": " ",
|
| 11740 |
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"localized_name": "STRING",
|
| 11741 |
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"name": "STRING",
|
| 11742 |
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"type": "STRING",
|
| 11743 |
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"links": [
|
| 11744 |
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4925
|
| 11745 |
+
]
|
| 11746 |
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}
|
| 11747 |
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],
|
| 11748 |
+
"title": "System Prompt for Qwen3-VL",
|
| 11749 |
+
"properties": {
|
| 11750 |
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"cnr_id": "comfy-core",
|
| 11751 |
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"ver": "0.3.33",
|
| 11752 |
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"Node name for S&R": "PrimitiveStringMultiline",
|
| 11753 |
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"widget_ue_connectable": {}
|
| 11754 |
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},
|
| 11755 |
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"widgets_values": [
|
| 11756 |
+
"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- Keep it between 1–6 sentences.\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt\n"
|
| 11757 |
+
],
|
| 11758 |
+
"color": "#432",
|
| 11759 |
+
"bgcolor": "#653",
|
| 11760 |
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"shape": 2
|
| 11761 |
}
|
| 11762 |
],
|
| 11763 |
"groups": [],
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|
| 11767 |
"origin_id": 1258,
|
| 11768 |
"origin_slot": 0,
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| 11769 |
"target_id": 1253,
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| 11770 |
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| 11771 |
"type": "IMAGE"
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| 11772 |
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| 11859 |
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|
| 11860 |
},
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| 11861 |
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|
| 12446 |
],
|
| 12447 |
"size": [
|
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| 12450 |
],
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| 12451 |
"flags": {
|
| 12452 |
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| 12454 |
"order": 4,
|
| 12455 |
"mode": 4,
|
| 12456 |
"inputs": [
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| 12457 |
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{
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| 12458 |
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"label": "image0",
|
| 12459 |
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"localized_name": "images.image0",
|
| 12460 |
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"name": "images.image0",
|
| 12461 |
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"type": "IMAGE",
|
| 12462 |
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"link": null
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| 12463 |
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|
| 12464 |
{
|
| 12465 |
"localized_name": "image_1",
|
| 12466 |
"name": "image_1",
|
|
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|
| 12477 |
],
|
| 12478 |
"outputs": [
|
| 12479 |
{
|
| 12480 |
+
"localized_name": "IMAGE",
|
| 12481 |
+
"name": "IMAGE",
|
| 12482 |
"type": "IMAGE",
|
| 12483 |
"links": [
|
| 12484 |
4877
|
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|
| 12486 |
}
|
| 12487 |
],
|
| 12488 |
"properties": {
|
| 12489 |
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"aux_id": "kijai/ComfyUI-KJNodes",
|
| 12490 |
"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
|
| 12491 |
"Node name for S&R": "ImageBatchMulti",
|
| 12492 |
+
"cnr_id": "comfyui-kjnodes",
|
| 12493 |
"ue_properties": {
|
| 12494 |
"version": "7.0.1",
|
| 12495 |
"widget_ue_connectable": {
|
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|
| 12497 |
}
|
| 12498 |
}
|
| 12499 |
},
|
| 12500 |
+
"widgets_values": [],
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|
| 12501 |
"color": "#233",
|
| 12502 |
"bgcolor": "#355"
|
| 12503 |
},
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|
| 13485 |
"origin_id": 1258,
|
| 13486 |
"origin_slot": 0,
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| 13487 |
"target_id": 1253,
|
| 13488 |
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"target_slot": 2,
|
| 13489 |
"type": "IMAGE"
|
| 13490 |
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|
| 13491 |
{
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| 13573 |
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"target_id": 1253,
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| 13577 |
"type": "IMAGE"
|
| 13578 |
},
|
| 13579 |
{
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|
| 14164 |
],
|
| 14165 |
"size": [
|
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270,
|
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| 14168 |
],
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| 14169 |
"flags": {
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| 14170 |
"collapsed": true
|
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| 14172 |
"order": 4,
|
| 14173 |
"mode": 4,
|
| 14174 |
"inputs": [
|
| 14175 |
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{
|
| 14176 |
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"label": "image0",
|
| 14177 |
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"localized_name": "images.image0",
|
| 14178 |
+
"name": "images.image0",
|
| 14179 |
+
"type": "IMAGE",
|
| 14180 |
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"link": null
|
| 14181 |
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},
|
| 14182 |
{
|
| 14183 |
"localized_name": "image_1",
|
| 14184 |
"name": "image_1",
|
|
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|
| 14195 |
],
|
| 14196 |
"outputs": [
|
| 14197 |
{
|
| 14198 |
+
"localized_name": "IMAGE",
|
| 14199 |
+
"name": "IMAGE",
|
| 14200 |
"type": "IMAGE",
|
| 14201 |
"links": [
|
| 14202 |
4877
|
|
|
|
| 14204 |
}
|
| 14205 |
],
|
| 14206 |
"properties": {
|
| 14207 |
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"aux_id": "kijai/ComfyUI-KJNodes",
|
| 14208 |
"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
|
| 14209 |
"Node name for S&R": "ImageBatchMulti",
|
| 14210 |
+
"cnr_id": "comfyui-kjnodes",
|
| 14211 |
"ue_properties": {
|
| 14212 |
"version": "7.0.1",
|
| 14213 |
"widget_ue_connectable": {
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|
| 14215 |
}
|
| 14216 |
}
|
| 14217 |
},
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| 14218 |
+
"widgets_values": [],
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|
| 14219 |
"color": "#233",
|
| 14220 |
"bgcolor": "#355"
|
| 14221 |
},
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|
| 15203 |
"origin_id": 1258,
|
| 15204 |
"origin_slot": 0,
|
| 15205 |
"target_id": 1253,
|
| 15206 |
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"target_slot": 2,
|
| 15207 |
"type": "IMAGE"
|
| 15208 |
},
|
| 15209 |
{
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|
| 15291 |
"origin_id": -10,
|
| 15292 |
"origin_slot": 0,
|
| 15293 |
"target_id": 1253,
|
| 15294 |
+
"target_slot": 1,
|
| 15295 |
"type": "IMAGE"
|
| 15296 |
},
|
| 15297 |
{
|
|
|
|
| 15816 |
},
|
| 15817 |
"config": {},
|
| 15818 |
"extra": {
|
| 15819 |
+
"frontendVersion": "1.37.11",
|
| 15820 |
"workflowRendererVersion": "LG",
|
| 15821 |
"VHS_latentpreview": false,
|
| 15822 |
"VHS_latentpreviewrate": 0,
|
|
|
|
| 15825 |
"ue_links": [],
|
| 15826 |
"links_added_by_ue": [],
|
| 15827 |
"ds": {
|
| 15828 |
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"scale": 0.5723397236232475,
|
| 15829 |
"offset": [
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]
|
| 15833 |
}
|
| 15834 |
},
|
workflows/{WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-2.json → WAN2.2-I2V-LongVideo-AutoPrompt-MMAudio-v1-3.json}
RENAMED
|
@@ -6033,6 +6033,251 @@
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| 6033 |
"color": "#323",
|
| 6034 |
"bgcolor": "#535"
|
| 6035 |
},
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| 6036 |
{
|
| 6037 |
"id": 1252,
|
| 6038 |
"type": "2643c0a2-4f8c-4b66-9bba-7305a874c2db",
|
|
@@ -6832,393 +7077,148 @@
|
|
| 6832 |
"name": "scheduler",
|
| 6833 |
"type": "COMBO",
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"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 9880 |
],
|
| 9881 |
"color": "#432",
|
| 9882 |
"bgcolor": "#653",
|
|
@@ -10862,7 +10862,7 @@
|
|
| 10862 |
],
|
| 10863 |
"size": [
|
| 10864 |
270,
|
| 10865 |
-
|
| 10866 |
],
|
| 10867 |
"flags": {
|
| 10868 |
"collapsed": true
|
|
@@ -10870,6 +10870,13 @@
|
|
| 10870 |
"order": 4,
|
| 10871 |
"mode": 4,
|
| 10872 |
"inputs": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10873 |
{
|
| 10874 |
"localized_name": "image_1",
|
| 10875 |
"name": "image_1",
|
|
@@ -10886,8 +10893,8 @@
|
|
| 10886 |
],
|
| 10887 |
"outputs": [
|
| 10888 |
{
|
| 10889 |
-
"localized_name": "
|
| 10890 |
-
"name": "
|
| 10891 |
"type": "IMAGE",
|
| 10892 |
"links": [
|
| 10893 |
4877
|
|
@@ -10895,10 +10902,10 @@
|
|
| 10895 |
}
|
| 10896 |
],
|
| 10897 |
"properties": {
|
| 10898 |
-
"
|
| 10899 |
"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
|
| 10900 |
"Node name for S&R": "ImageBatchMulti",
|
| 10901 |
-
"
|
| 10902 |
"ue_properties": {
|
| 10903 |
"version": "7.0.1",
|
| 10904 |
"widget_ue_connectable": {
|
|
@@ -10906,10 +10913,7 @@
|
|
| 10906 |
}
|
| 10907 |
}
|
| 10908 |
},
|
| 10909 |
-
"widgets_values": [
|
| 10910 |
-
2,
|
| 10911 |
-
null
|
| 10912 |
-
],
|
| 10913 |
"color": "#233",
|
| 10914 |
"bgcolor": "#355"
|
| 10915 |
},
|
|
@@ -11576,8 +11580,8 @@
|
|
| 11576 |
1272.13030556652
|
| 11577 |
],
|
| 11578 |
"size": [
|
| 11579 |
-
|
| 11580 |
-
|
| 11581 |
],
|
| 11582 |
"flags": {
|
| 11583 |
"collapsed": true
|
|
@@ -11604,7 +11608,7 @@
|
|
| 11604 |
"widget_ue_connectable": {}
|
| 11605 |
},
|
| 11606 |
"widgets_values": [
|
| 11607 |
-
"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 11608 |
],
|
| 11609 |
"color": "#432",
|
| 11610 |
"bgcolor": "#653",
|
|
@@ -11618,7 +11622,7 @@
|
|
| 11618 |
"origin_id": 1258,
|
| 11619 |
"origin_slot": 0,
|
| 11620 |
"target_id": 1253,
|
| 11621 |
-
"target_slot":
|
| 11622 |
"type": "IMAGE"
|
| 11623 |
},
|
| 11624 |
{
|
|
@@ -11706,7 +11710,7 @@
|
|
| 11706 |
"origin_id": -10,
|
| 11707 |
"origin_slot": 0,
|
| 11708 |
"target_id": 1253,
|
| 11709 |
-
"target_slot":
|
| 11710 |
"type": "IMAGE"
|
| 11711 |
},
|
| 11712 |
{
|
|
@@ -12297,7 +12301,7 @@
|
|
| 12297 |
],
|
| 12298 |
"size": [
|
| 12299 |
270,
|
| 12300 |
-
|
| 12301 |
],
|
| 12302 |
"flags": {
|
| 12303 |
"collapsed": true
|
|
@@ -12305,6 +12309,13 @@
|
|
| 12305 |
"order": 4,
|
| 12306 |
"mode": 4,
|
| 12307 |
"inputs": [
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12308 |
{
|
| 12309 |
"localized_name": "image_1",
|
| 12310 |
"name": "image_1",
|
|
@@ -12321,8 +12332,8 @@
|
|
| 12321 |
],
|
| 12322 |
"outputs": [
|
| 12323 |
{
|
| 12324 |
-
"localized_name": "
|
| 12325 |
-
"name": "
|
| 12326 |
"type": "IMAGE",
|
| 12327 |
"links": [
|
| 12328 |
4877
|
|
@@ -12330,10 +12341,10 @@
|
|
| 12330 |
}
|
| 12331 |
],
|
| 12332 |
"properties": {
|
| 12333 |
-
"
|
| 12334 |
"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
|
| 12335 |
"Node name for S&R": "ImageBatchMulti",
|
| 12336 |
-
"
|
| 12337 |
"ue_properties": {
|
| 12338 |
"version": "7.0.1",
|
| 12339 |
"widget_ue_connectable": {
|
|
@@ -12341,10 +12352,7 @@
|
|
| 12341 |
}
|
| 12342 |
}
|
| 12343 |
},
|
| 12344 |
-
"widgets_values": [
|
| 12345 |
-
2,
|
| 12346 |
-
null
|
| 12347 |
-
],
|
| 12348 |
"color": "#233",
|
| 12349 |
"bgcolor": "#355"
|
| 12350 |
},
|
|
@@ -13288,8 +13296,8 @@
|
|
| 13288 |
1353.7695095240863
|
| 13289 |
],
|
| 13290 |
"size": [
|
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|
| 13292 |
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|
| 13293 |
],
|
| 13294 |
"flags": {
|
| 13295 |
"collapsed": true
|
|
@@ -13316,7 +13324,7 @@
|
|
| 13316 |
"widget_ue_connectable": {}
|
| 13317 |
},
|
| 13318 |
"widgets_values": [
|
| 13319 |
-
"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 13320 |
],
|
| 13321 |
"color": "#432",
|
| 13322 |
"bgcolor": "#653",
|
|
@@ -13330,7 +13338,7 @@
|
|
| 13330 |
"origin_id": 1258,
|
| 13331 |
"origin_slot": 0,
|
| 13332 |
"target_id": 1253,
|
| 13333 |
-
"target_slot":
|
| 13334 |
"type": "IMAGE"
|
| 13335 |
},
|
| 13336 |
{
|
|
@@ -13418,7 +13426,7 @@
|
|
| 13418 |
"origin_id": -10,
|
| 13419 |
"origin_slot": 0,
|
| 13420 |
"target_id": 1253,
|
| 13421 |
-
"target_slot":
|
| 13422 |
"type": "IMAGE"
|
| 13423 |
},
|
| 13424 |
{
|
|
@@ -14009,7 +14017,7 @@
|
|
| 14009 |
],
|
| 14010 |
"size": [
|
| 14011 |
270,
|
| 14012 |
-
|
| 14013 |
],
|
| 14014 |
"flags": {
|
| 14015 |
"collapsed": true
|
|
@@ -14017,6 +14025,13 @@
|
|
| 14017 |
"order": 4,
|
| 14018 |
"mode": 4,
|
| 14019 |
"inputs": [
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
| 14020 |
{
|
| 14021 |
"localized_name": "image_1",
|
| 14022 |
"name": "image_1",
|
|
@@ -14033,8 +14048,8 @@
|
|
| 14033 |
],
|
| 14034 |
"outputs": [
|
| 14035 |
{
|
| 14036 |
-
"localized_name": "
|
| 14037 |
-
"name": "
|
| 14038 |
"type": "IMAGE",
|
| 14039 |
"links": [
|
| 14040 |
4877
|
|
@@ -14042,10 +14057,10 @@
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|
| 14042 |
}
|
| 14043 |
],
|
| 14044 |
"properties": {
|
| 14045 |
-
"
|
| 14046 |
"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
|
| 14047 |
"Node name for S&R": "ImageBatchMulti",
|
| 14048 |
-
"
|
| 14049 |
"ue_properties": {
|
| 14050 |
"version": "7.0.1",
|
| 14051 |
"widget_ue_connectable": {
|
|
@@ -14053,10 +14068,7 @@
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|
| 14053 |
}
|
| 14054 |
}
|
| 14055 |
},
|
| 14056 |
-
"widgets_values": [
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| 14057 |
-
2,
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| 14058 |
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null
|
| 14059 |
-
],
|
| 14060 |
"color": "#233",
|
| 14061 |
"bgcolor": "#355"
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| 14062 |
},
|
|
@@ -15000,8 +15012,8 @@
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|
| 15000 |
1379.8183866533411
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| 15001 |
],
|
| 15002 |
"size": [
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-
550.
|
| 15004 |
-
|
| 15005 |
],
|
| 15006 |
"flags": {
|
| 15007 |
"collapsed": true
|
|
@@ -15028,7 +15040,7 @@
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|
| 15028 |
"widget_ue_connectable": {}
|
| 15029 |
},
|
| 15030 |
"widgets_values": [
|
| 15031 |
-
"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 15032 |
],
|
| 15033 |
"color": "#432",
|
| 15034 |
"bgcolor": "#653",
|
|
@@ -15042,7 +15054,7 @@
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|
| 15042 |
"origin_id": 1258,
|
| 15043 |
"origin_slot": 0,
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| 15044 |
"target_id": 1253,
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| 15045 |
-
"target_slot":
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| 15046 |
"type": "IMAGE"
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| 15047 |
},
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| 15048 |
{
|
|
@@ -15130,7 +15142,7 @@
|
|
| 15130 |
"origin_id": -10,
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| 15131 |
"origin_slot": 0,
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| 15132 |
"target_id": 1253,
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| 15133 |
-
"target_slot":
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| 15134 |
"type": "IMAGE"
|
| 15135 |
},
|
| 15136 |
{
|
|
@@ -15664,10 +15676,10 @@
|
|
| 15664 |
"ue_links": [],
|
| 15665 |
"links_added_by_ue": [],
|
| 15666 |
"ds": {
|
| 15667 |
-
"scale": 0.
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| 15668 |
"offset": [
|
| 15669 |
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|
| 15670 |
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|
| 15671 |
]
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| 15672 |
}
|
| 15673 |
},
|
|
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|
| 6033 |
"color": "#323",
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| 6034 |
"bgcolor": "#535"
|
| 6035 |
},
|
| 6036 |
+
{
|
| 6037 |
+
"id": 1438,
|
| 6038 |
+
"type": "Fast Groups Bypasser (rgthree)",
|
| 6039 |
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"pos": [
|
| 6040 |
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-1773.1246172263293,
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| 6041 |
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120
|
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],
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| 6043 |
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"size": [
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120
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],
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"order": 91,
|
| 6049 |
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"mode": 0,
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| 6050 |
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"inputs": [],
|
| 6051 |
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"outputs": [
|
| 6052 |
+
{
|
| 6053 |
+
"name": "OPT_CONNECTION",
|
| 6054 |
+
"type": "*",
|
| 6055 |
+
"links": null
|
| 6056 |
+
}
|
| 6057 |
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],
|
| 6058 |
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"title": "Upscale and Interpolation",
|
| 6059 |
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"properties": {
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| 6060 |
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"matchColors": "red",
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| 6061 |
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"matchTitle": "",
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| 6062 |
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"showNav": true,
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| 6063 |
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"showAllGraphs": true,
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| 6064 |
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"sort": "position",
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| 6065 |
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"customSortAlphabet": "",
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| 6066 |
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"toggleRestriction": "default"
|
| 6067 |
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},
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| 6068 |
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"color": "#322",
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| 6069 |
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"bgcolor": "#533"
|
| 6070 |
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},
|
| 6071 |
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{
|
| 6072 |
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"id": 1463,
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| 6073 |
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"type": "ImageScaleBy",
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"pos": [
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82
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| 6081 |
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],
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"flags": {
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"collapsed": true
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| 6084 |
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},
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"order": 140,
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"inputs": [
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{
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"name": "image",
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"type": "IMAGE",
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| 6091 |
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"link": 5310
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| 6092 |
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}
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],
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| 6094 |
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"outputs": [
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{
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| 6096 |
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"name": "IMAGE",
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| 6097 |
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"type": "IMAGE",
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| 6098 |
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"links": [
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| 6099 |
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5358
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| 6100 |
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]
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| 6101 |
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}
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],
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"properties": {
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"cnr_id": "comfy-core",
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"ver": "0.10.0",
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"Node name for S&R": "ImageScaleBy"
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},
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"widgets_values": [
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"nearest-exact",
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],
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},
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{
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"id": 1460,
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{
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"name": "upscale_model",
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"type": "UPSCALE_MODEL",
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"link": 5308
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},
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{
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"name": "image",
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"type": "IMAGE",
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| 6140 |
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"link": 5309
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| 6141 |
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}
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],
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| 6143 |
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"outputs": [
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{
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"name": "IMAGE",
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"type": "IMAGE",
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| 6147 |
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"links": [
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5310
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]
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"properties": {
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"cnr_id": "comfy-core",
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"ver": "0.10.0",
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| 6155 |
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"Node name for S&R": "ImageUpscaleWithModel"
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},
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"widgets_values": [],
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"color": "#323",
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},
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{
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"id": 917,
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"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- Keep it between 1–6 sentences.\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 9880 |
],
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| 9881 |
"color": "#432",
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| 9882 |
"bgcolor": "#653",
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],
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270,
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66
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"order": 4,
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| 10872 |
"inputs": [
|
| 10873 |
+
{
|
| 10874 |
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"label": "image0",
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| 10875 |
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"localized_name": "images.image0",
|
| 10876 |
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"name": "images.image0",
|
| 10877 |
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"type": "IMAGE",
|
| 10878 |
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"link": null
|
| 10879 |
+
},
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{
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| 10881 |
"localized_name": "image_1",
|
| 10882 |
"name": "image_1",
|
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],
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"outputs": [
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| 10895 |
{
|
| 10896 |
+
"localized_name": "IMAGE",
|
| 10897 |
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"name": "IMAGE",
|
| 10898 |
"type": "IMAGE",
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"links": [
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4877
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}
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],
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"properties": {
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"aux_id": "kijai/ComfyUI-KJNodes",
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"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
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"Node name for S&R": "ImageBatchMulti",
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"cnr_id": "comfyui-kjnodes",
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"ue_properties": {
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"version": "7.0.1",
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"widgets_values": [],
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"color": "#233",
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| 11611 |
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"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- Keep it between 1–6 sentences.\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 11612 |
],
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| 11613 |
"color": "#432",
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"bgcolor": "#653",
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"target_id": 1253,
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"type": "IMAGE"
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},
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{
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],
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| 12302 |
"size": [
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270,
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"mode": 4,
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"inputs": [
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{
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"label": "image0",
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"localized_name": "images.image0",
|
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"name": "images.image0",
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"type": "IMAGE",
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"link": null
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},
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| 12319 |
{
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"localized_name": "image_1",
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| 12321 |
"name": "image_1",
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],
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"outputs": [
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{
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"localized_name": "IMAGE",
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| 12336 |
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"name": "IMAGE",
|
| 12337 |
"type": "IMAGE",
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"properties": {
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"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
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"Node name for S&R": "ImageBatchMulti",
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"cnr_id": "comfyui-kjnodes",
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"ue_properties": {
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"version": "7.0.1",
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"widget_ue_connectable": {
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|
| 12352 |
}
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| 12353 |
}
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"widgets_values": [],
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|
| 12356 |
"color": "#233",
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"bgcolor": "#355"
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},
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},
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"widgets_values": [
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| 13327 |
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"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- Keep it between 1–6 sentences.\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
|
| 13328 |
],
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"color": "#432",
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"bgcolor": "#653",
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"origin_id": 1258,
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"origin_slot": 0,
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"target_id": 1253,
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"type": "IMAGE"
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{
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"target_id": 1253,
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"target_slot": 1,
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"type": "IMAGE"
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},
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{
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|
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],
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"size": [
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270,
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66
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"flags": {
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"collapsed": true
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"order": 4,
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"mode": 4,
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"inputs": [
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{
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"label": "image0",
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"localized_name": "images.image0",
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"name": "images.image0",
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"type": "IMAGE",
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"link": null
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},
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{
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"localized_name": "image_1",
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"name": "image_1",
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],
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"outputs": [
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{
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+
"localized_name": "IMAGE",
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+
"name": "IMAGE",
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"type": "IMAGE",
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"ver": "2f7300dc546ec2d36fa8b0feebe493d41026524c",
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"Node name for S&R": "ImageBatchMulti",
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"cnr_id": "comfyui-kjnodes",
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"ue_properties": {
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"version": "7.0.1",
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"widget_ue_connectable": {
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}
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"widgets_values": [],
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"You are a system that converts Italian or English user prompts and visual inputs into optimized cinematic English descriptions for WAN 2.2 I2V generation.\n\nSteps:\n1. Read the user's input and understand the intention and atmosphere.\n2. Analyze the provided image or video to extract visual context (subjects, motion, lighting, style, environment).\n3. Combine both sources to create an English prompt optimized for realistic video generation with WAN 2.2.\n\nRules:\n- The output must be in fluent English.\n- Structure the description as a precise, continuous scene with a timeline indicated for each second (e.g., \"(At 0 seconds: ...) (At 1 second: ...) (At 2 seconds: ...) (At 3 seconds: ...) (At 4 seconds: ...) (At 5 seconds: ...)\").\n- Describe the scene like a film still: subject(s) and action; environment and atmosphere; lighting design (practical lights vs ambient, direction, contrast); camera language (shot type, angle, lens feel, depth of field, motion implied); composition and mood. Keep it vivid but factual.\n- If there are NSFW images or text, please provide an NSFW description (breasts, nipples, pussy, penis, areolas).\n- Keep it between 1–6 sentences.\n- No preface, no reasoning.\n- Do not write any Note at the end of the prompt"
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],
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"bgcolor": "#653",
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