mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-05-17 23:26:17 +08:00
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9 Commits
alexis/spl
...
v0.20.0
| Author | SHA1 | Date | |
|---|---|---|---|
| 75143eeb06 | |||
| 1233f077b1 | |||
| 6968a70e60 | |||
| 115f418b64 | |||
| 7385eb2800 | |||
| df22bcd5e1 | |||
| 5e3f15a830 | |||
| 4304c15e9b | |||
| 7636599389 |
1620
blueprints/Crop Images 2x2.json
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1620
blueprints/Crop Images 2x2.json
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2957
blueprints/Crop Images 3x3.json
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2957
blueprints/Crop Images 3x3.json
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@ -160,7 +160,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Depth to Image (Z-Image-Turbo)",
|
||||
"name": "Depth to Image (Z-Image-Turbo)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -2482,4 +2482,4 @@
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -261,7 +261,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Depth to Video (LTX 2.0)",
|
||||
"name": "Depth to Video (LTX 2.0)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -5208,4 +5208,4 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
3360
blueprints/First-Last-Frame to Video (LTX-2.3).json
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3360
blueprints/First-Last-Frame to Video (LTX-2.3).json
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2148
blueprints/Image Edit (FireRed Image Edit 1.1).json
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2148
blueprints/Image Edit (FireRed Image Edit 1.1).json
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Load Diff
@ -128,7 +128,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image Edit (Flux.2 Klein 4B)",
|
||||
"name": "Image Edit (Flux.2 Klein 4B)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1837,4 +1837,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
1427
blueprints/Image Edit (LongCat Image Edit).json
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1427
blueprints/Image Edit (LongCat Image Edit).json
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1205
blueprints/Image Inpainting (Flux.1 Fill Dev).json
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1205
blueprints/Image Inpainting (Flux.1 Fill Dev).json
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Load Diff
@ -124,7 +124,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image Inpainting (Qwen-image)",
|
||||
"name": "Image Inpainting (Qwen-image)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1923,4 +1923,4 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -204,7 +204,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image Outpainting (Qwen-Image)",
|
||||
"name": "Image Outpainting (Qwen-Image)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -2749,4 +2749,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -1,15 +1,14 @@
|
||||
{
|
||||
"id": "1a761372-7c82-4016-b9bf-fa285967e1e9",
|
||||
"revision": 0,
|
||||
"last_node_id": 83,
|
||||
"last_node_id": 176,
|
||||
"last_link_id": 0,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 83,
|
||||
"type": "f754a936-daaf-4b6e-9658-41fdc54d301d",
|
||||
"id": 176,
|
||||
"type": "2d2e3c8e-53b3-4618-be52-6d1d99382f0e",
|
||||
"pos": [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
],
|
||||
"size": [
|
||||
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|
||||
@ -56,6 +55,38 @@
|
||||
"name": "layers"
|
||||
},
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"name": "seed",
|
||||
"type": "INT",
|
||||
"widget": {
|
||||
"name": "seed"
|
||||
},
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"name": "unet_name",
|
||||
"type": "COMBO",
|
||||
"widget": {
|
||||
"name": "unet_name"
|
||||
},
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"name": "clip_name",
|
||||
"type": "COMBO",
|
||||
"widget": {
|
||||
"name": "clip_name"
|
||||
},
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"name": "vae_name",
|
||||
"type": "COMBO",
|
||||
"widget": {
|
||||
"name": "vae_name"
|
||||
},
|
||||
"link": null
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
@ -66,28 +97,41 @@
|
||||
"links": []
|
||||
}
|
||||
],
|
||||
"title": "Image to Layers (Qwen-Image-Layered)",
|
||||
"properties": {
|
||||
"proxyWidgets": [
|
||||
[
|
||||
"-1",
|
||||
"6",
|
||||
"text"
|
||||
],
|
||||
[
|
||||
"-1",
|
||||
"3",
|
||||
"steps"
|
||||
],
|
||||
[
|
||||
"-1",
|
||||
"3",
|
||||
"cfg"
|
||||
],
|
||||
[
|
||||
"-1",
|
||||
"83",
|
||||
"layers"
|
||||
],
|
||||
[
|
||||
"3",
|
||||
"seed"
|
||||
],
|
||||
[
|
||||
"37",
|
||||
"unet_name"
|
||||
],
|
||||
[
|
||||
"38",
|
||||
"clip_name"
|
||||
],
|
||||
[
|
||||
"39",
|
||||
"vae_name"
|
||||
],
|
||||
[
|
||||
"3",
|
||||
"control_after_generate"
|
||||
@ -95,6 +139,11 @@
|
||||
],
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -103,25 +152,20 @@
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65
|
||||
},
|
||||
"widgets_values": [
|
||||
"",
|
||||
20,
|
||||
2.5,
|
||||
2
|
||||
]
|
||||
"widgets_values": []
|
||||
}
|
||||
],
|
||||
"links": [],
|
||||
"groups": [],
|
||||
"version": 0.4,
|
||||
"definitions": {
|
||||
"subgraphs": [
|
||||
{
|
||||
"id": "f754a936-daaf-4b6e-9658-41fdc54d301d",
|
||||
"id": "2d2e3c8e-53b3-4618-be52-6d1d99382f0e",
|
||||
"version": 1,
|
||||
"state": {
|
||||
"lastGroupId": 3,
|
||||
"lastNodeId": 83,
|
||||
"lastLinkId": 159,
|
||||
"lastGroupId": 8,
|
||||
"lastNodeId": 176,
|
||||
"lastLinkId": 380,
|
||||
"lastRerouteId": 0
|
||||
},
|
||||
"revision": 0,
|
||||
@ -130,10 +174,10 @@
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
-510,
|
||||
523,
|
||||
-720,
|
||||
720,
|
||||
120,
|
||||
140
|
||||
220
|
||||
]
|
||||
},
|
||||
"outputNode": {
|
||||
@ -156,8 +200,8 @@
|
||||
],
|
||||
"localized_name": "image",
|
||||
"pos": [
|
||||
-410,
|
||||
543
|
||||
-620,
|
||||
740
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -168,8 +212,8 @@
|
||||
150
|
||||
],
|
||||
"pos": [
|
||||
-410,
|
||||
563
|
||||
-620,
|
||||
760
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -180,8 +224,8 @@
|
||||
153
|
||||
],
|
||||
"pos": [
|
||||
-410,
|
||||
583
|
||||
-620,
|
||||
780
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -192,8 +236,8 @@
|
||||
154
|
||||
],
|
||||
"pos": [
|
||||
-410,
|
||||
603
|
||||
-620,
|
||||
800
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -204,8 +248,56 @@
|
||||
159
|
||||
],
|
||||
"pos": [
|
||||
-410,
|
||||
623
|
||||
-620,
|
||||
820
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "9f76338b-f4ca-4bb3-b61a-57b3f233061e",
|
||||
"name": "seed",
|
||||
"type": "INT",
|
||||
"linkIds": [
|
||||
377
|
||||
],
|
||||
"pos": [
|
||||
-620,
|
||||
840
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "8d0422d5-5eee-4f7e-9817-dc613cc62eca",
|
||||
"name": "unet_name",
|
||||
"type": "COMBO",
|
||||
"linkIds": [
|
||||
378
|
||||
],
|
||||
"pos": [
|
||||
-620,
|
||||
860
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "552eece2-a735-4d00-ae78-ded454622bc1",
|
||||
"name": "clip_name",
|
||||
"type": "COMBO",
|
||||
"linkIds": [
|
||||
379
|
||||
],
|
||||
"pos": [
|
||||
-620,
|
||||
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|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "1e6d141c-d0f9-4a2b-895c-b6780e57cfa0",
|
||||
"name": "vae_name",
|
||||
"type": "COMBO",
|
||||
"linkIds": [
|
||||
380
|
||||
],
|
||||
"pos": [
|
||||
-620,
|
||||
900
|
||||
]
|
||||
}
|
||||
],
|
||||
@ -231,14 +323,14 @@
|
||||
"type": "CLIPLoader",
|
||||
"pos": [
|
||||
-320,
|
||||
310
|
||||
360
|
||||
],
|
||||
"size": [
|
||||
346.7470703125,
|
||||
106
|
||||
350,
|
||||
150
|
||||
],
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
@ -248,7 +340,7 @@
|
||||
"widget": {
|
||||
"name": "clip_name"
|
||||
},
|
||||
"link": null
|
||||
"link": 379
|
||||
},
|
||||
{
|
||||
"localized_name": "type",
|
||||
@ -283,9 +375,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPLoader",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "CLIPLoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
|
||||
@ -312,14 +409,14 @@
|
||||
"type": "VAELoader",
|
||||
"pos": [
|
||||
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|
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|
||||
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|
||||
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|
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|
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|
||||
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|
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|
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|
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"flags": {},
|
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|
||||
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|
||||
"mode": 0,
|
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"inputs": [
|
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{
|
||||
@ -329,7 +426,7 @@
|
||||
"widget": {
|
||||
"name": "vae_name"
|
||||
},
|
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"link": null
|
||||
"link": 380
|
||||
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|
||||
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|
||||
"outputs": [
|
||||
@ -345,9 +442,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAELoader",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "VAELoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_image_layered_vae.safetensors",
|
||||
@ -375,11 +477,11 @@
|
||||
420
|
||||
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|
||||
"size": [
|
||||
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|
||||
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|
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|
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
"inputs": [
|
||||
{
|
||||
@ -411,9 +513,14 @@
|
||||
],
|
||||
"title": "CLIP Text Encode (Negative Prompt)",
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
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"input_ue_unconnectable": {},
|
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"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
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"tabXOffset": 10,
|
||||
@ -432,12 +539,12 @@
|
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"id": 70,
|
||||
"type": "ReferenceLatent",
|
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|
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|
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|
||||
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|
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|
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|
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|
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|
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|
||||
50
|
||||
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|
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"flags": {
|
||||
"collapsed": true
|
||||
@ -470,9 +577,14 @@
|
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}
|
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],
|
||||
"properties": {
|
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"Node name for S&R": "ReferenceLatent",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
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"ue_properties": {
|
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|
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|
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|
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|
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|
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|
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@ -480,19 +592,18 @@
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65
|
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},
|
||||
"widgets_values": []
|
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}
|
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|
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{
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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@ -525,9 +636,14 @@
|
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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": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
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|
||||
},
|
||||
"Node name for S&R": "ReferenceLatent",
|
||||
"enableTabs": false,
|
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"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -535,8 +651,7 @@
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65
|
||||
},
|
||||
"widgets_values": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 66,
|
||||
@ -547,10 +662,10 @@
|
||||
],
|
||||
"size": [
|
||||
270,
|
||||
58
|
||||
110
|
||||
],
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
@ -580,9 +695,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "ModelSamplingAuraFlow",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "ModelSamplingAuraFlow",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -600,11 +720,11 @@
|
||||
"type": "LatentCutToBatch",
|
||||
"pos": [
|
||||
830,
|
||||
160
|
||||
140
|
||||
],
|
||||
"size": [
|
||||
270,
|
||||
82
|
||||
140
|
||||
],
|
||||
"flags": {},
|
||||
"order": 11,
|
||||
@ -646,9 +766,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LatentCutToBatch",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "LatentCutToBatch",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -666,12 +791,12 @@
|
||||
"id": 71,
|
||||
"type": "VAEEncode",
|
||||
"pos": [
|
||||
100,
|
||||
690
|
||||
-280,
|
||||
780
|
||||
],
|
||||
"size": [
|
||||
140,
|
||||
46
|
||||
230,
|
||||
100
|
||||
],
|
||||
"flags": {
|
||||
"collapsed": false
|
||||
@ -704,9 +829,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEEncode",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "VAEEncode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -714,24 +844,23 @@
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65
|
||||
},
|
||||
"widgets_values": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "VAEDecode",
|
||||
"pos": [
|
||||
850,
|
||||
310
|
||||
370
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
46
|
||||
50
|
||||
],
|
||||
"flags": {
|
||||
"collapsed": true
|
||||
},
|
||||
"order": 7,
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
@ -759,9 +888,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEDecode",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "VAEDecode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -769,8 +903,7 @@
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65
|
||||
},
|
||||
"widgets_values": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
@ -780,11 +913,11 @@
|
||||
180
|
||||
],
|
||||
"size": [
|
||||
422.84503173828125,
|
||||
164.31304931640625
|
||||
430,
|
||||
170
|
||||
],
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
@ -816,9 +949,14 @@
|
||||
],
|
||||
"title": "CLIP Text Encode (Positive Prompt)",
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "CLIPTextEncode",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -838,14 +976,14 @@
|
||||
"type": "KSampler",
|
||||
"pos": [
|
||||
530,
|
||||
280
|
||||
340
|
||||
],
|
||||
"size": [
|
||||
270,
|
||||
400
|
||||
],
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
@ -879,7 +1017,7 @@
|
||||
"widget": {
|
||||
"name": "seed"
|
||||
},
|
||||
"link": null
|
||||
"link": 377
|
||||
},
|
||||
{
|
||||
"localized_name": "steps",
|
||||
@ -939,9 +1077,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "KSampler",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "KSampler",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -964,12 +1107,12 @@
|
||||
"id": 78,
|
||||
"type": "GetImageSize",
|
||||
"pos": [
|
||||
80,
|
||||
790
|
||||
-280,
|
||||
930
|
||||
],
|
||||
"size": [
|
||||
210,
|
||||
136
|
||||
230,
|
||||
140
|
||||
],
|
||||
"flags": {},
|
||||
"order": 12,
|
||||
@ -1007,9 +1150,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "GetImageSize",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "GetImageSize",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -1017,23 +1165,23 @@
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65
|
||||
},
|
||||
"widgets_values": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 83,
|
||||
"type": "EmptyQwenImageLayeredLatentImage",
|
||||
"pos": [
|
||||
320,
|
||||
790
|
||||
-280,
|
||||
1120
|
||||
],
|
||||
"size": [
|
||||
330.9341796875,
|
||||
130
|
||||
340,
|
||||
200
|
||||
],
|
||||
"flags": {},
|
||||
"order": 13,
|
||||
"mode": 0,
|
||||
"showAdvanced": true,
|
||||
"inputs": [
|
||||
{
|
||||
"localized_name": "width",
|
||||
@ -1083,9 +1231,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "EmptyQwenImageLayeredLatentImage",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "EmptyQwenImageLayeredLatentImage",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
@ -1109,11 +1262,11 @@
|
||||
180
|
||||
],
|
||||
"size": [
|
||||
346.7470703125,
|
||||
82
|
||||
350,
|
||||
110
|
||||
],
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
@ -1123,7 +1276,7 @@
|
||||
"widget": {
|
||||
"name": "unet_name"
|
||||
},
|
||||
"link": null
|
||||
"link": 378
|
||||
},
|
||||
{
|
||||
"localized_name": "weight_dtype",
|
||||
@ -1147,9 +1300,14 @@
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "UNETLoader",
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.5.1",
|
||||
"ue_properties": {
|
||||
"widget_ue_connectable": {},
|
||||
"input_ue_unconnectable": {},
|
||||
"version": "7.7"
|
||||
},
|
||||
"Node name for S&R": "UNETLoader",
|
||||
"models": [
|
||||
{
|
||||
"name": "qwen_image_layered_bf16.safetensors",
|
||||
@ -1191,8 +1349,8 @@
|
||||
"bounding": [
|
||||
-330,
|
||||
110,
|
||||
366.7470703125,
|
||||
421.6
|
||||
370,
|
||||
610
|
||||
],
|
||||
"color": "#3f789e",
|
||||
"font_size": 24,
|
||||
@ -1391,6 +1549,38 @@
|
||||
"target_id": 83,
|
||||
"target_slot": 2,
|
||||
"type": "INT"
|
||||
},
|
||||
{
|
||||
"id": 377,
|
||||
"origin_id": -10,
|
||||
"origin_slot": 5,
|
||||
"target_id": 3,
|
||||
"target_slot": 4,
|
||||
"type": "INT"
|
||||
},
|
||||
{
|
||||
"id": 378,
|
||||
"origin_id": -10,
|
||||
"origin_slot": 6,
|
||||
"target_id": 37,
|
||||
"target_slot": 0,
|
||||
"type": "COMBO"
|
||||
},
|
||||
{
|
||||
"id": 379,
|
||||
"origin_id": -10,
|
||||
"origin_slot": 7,
|
||||
"target_id": 38,
|
||||
"target_slot": 0,
|
||||
"type": "COMBO"
|
||||
},
|
||||
{
|
||||
"id": 380,
|
||||
"origin_id": -10,
|
||||
"origin_slot": 8,
|
||||
"target_id": 39,
|
||||
"target_slot": 0,
|
||||
"type": "COMBO"
|
||||
}
|
||||
],
|
||||
"extra": {
|
||||
@ -1400,7 +1590,6 @@
|
||||
}
|
||||
]
|
||||
},
|
||||
"config": {},
|
||||
"extra": {
|
||||
"ds": {
|
||||
"scale": 1.14,
|
||||
@ -1409,7 +1598,6 @@
|
||||
6.855893974423647
|
||||
]
|
||||
},
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
"ue_links": []
|
||||
}
|
||||
}
|
||||
4233
blueprints/Image to Video (LTX-2.3).json
Normal file
4233
blueprints/Image to Video (LTX-2.3).json
Normal file
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
1046
blueprints/Text to Image (Flux.1 Dev).json
Normal file
1046
blueprints/Text to Image (Flux.1 Dev).json
Normal file
File diff suppressed because it is too large
Load Diff
1040
blueprints/Text to Image (Flux.1 Krea Dev).json
Normal file
1040
blueprints/Text to Image (Flux.1 Krea Dev).json
Normal file
File diff suppressed because it is too large
Load Diff
1468
blueprints/Text to Image (NetaYume Lumina).json
Normal file
1468
blueprints/Text to Image (NetaYume Lumina).json
Normal file
File diff suppressed because it is too large
Load Diff
1951
blueprints/Text to Image (Qwen-Image 2512).json
Normal file
1951
blueprints/Text to Image (Qwen-Image 2512).json
Normal file
File diff suppressed because it is too large
Load Diff
1881
blueprints/Text to Image (Qwen-Image).json
Normal file
1881
blueprints/Text to Image (Qwen-Image).json
Normal file
File diff suppressed because it is too large
Load Diff
4296
blueprints/Text to Video (LTX-2.3).json
Normal file
4296
blueprints/Text to Video (LTX-2.3).json
Normal file
File diff suppressed because it is too large
Load Diff
@ -240,19 +240,34 @@ class VideoFromFile(VideoInput):
|
||||
start_time = self.__start_time
|
||||
# Get video frames
|
||||
frames = []
|
||||
alphas = None
|
||||
start_pts = int(start_time / video_stream.time_base)
|
||||
end_pts = int((start_time + self.__duration) / video_stream.time_base)
|
||||
container.seek(start_pts, stream=video_stream)
|
||||
image_format = 'gbrpf32le'
|
||||
for frame in container.decode(video_stream):
|
||||
if alphas is None:
|
||||
for comp in frame.format.components:
|
||||
if comp.is_alpha:
|
||||
alphas = []
|
||||
image_format = 'gbrapf32le'
|
||||
break
|
||||
|
||||
if frame.pts < start_pts:
|
||||
continue
|
||||
if self.__duration and frame.pts >= end_pts:
|
||||
break
|
||||
img = frame.to_ndarray(format='rgb24') # shape: (H, W, 3)
|
||||
img = torch.from_numpy(img) / 255.0 # shape: (H, W, 3)
|
||||
frames.append(img)
|
||||
|
||||
images = torch.stack(frames) if len(frames) > 0 else torch.zeros(0, 3, 0, 0)
|
||||
img = frame.to_ndarray(format=image_format) # shape: (H, W, 4)
|
||||
if alphas is None:
|
||||
frames.append(torch.from_numpy(img))
|
||||
else:
|
||||
frames.append(torch.from_numpy(img[..., :-1]))
|
||||
alphas.append(torch.from_numpy(img[..., -1:]))
|
||||
|
||||
images = torch.stack(frames) if len(frames) > 0 else torch.zeros(0, 0, 0, 3)
|
||||
if alphas is not None:
|
||||
alphas = torch.stack(alphas) if len(alphas) > 0 else torch.zeros(0, 0, 0, 1)
|
||||
|
||||
# Get frame rate
|
||||
frame_rate = Fraction(video_stream.average_rate) if video_stream.average_rate else Fraction(1)
|
||||
@ -295,7 +310,7 @@ class VideoFromFile(VideoInput):
|
||||
})
|
||||
|
||||
metadata = container.metadata
|
||||
return VideoComponents(images=images, audio=audio, frame_rate=frame_rate, metadata=metadata)
|
||||
return VideoComponents(images=images, alpha=alphas, audio=audio, frame_rate=frame_rate, metadata=metadata)
|
||||
|
||||
def get_components(self) -> VideoComponents:
|
||||
if isinstance(self.__file, io.BytesIO):
|
||||
|
||||
@ -3,7 +3,7 @@ from dataclasses import dataclass
|
||||
from enum import Enum
|
||||
from fractions import Fraction
|
||||
from typing import Optional
|
||||
from .._input import ImageInput, AudioInput
|
||||
from .._input import ImageInput, AudioInput, MaskInput
|
||||
|
||||
class VideoCodec(str, Enum):
|
||||
AUTO = "auto"
|
||||
@ -48,5 +48,4 @@ class VideoComponents:
|
||||
frame_rate: Fraction
|
||||
audio: Optional[AudioInput] = None
|
||||
metadata: Optional[dict] = None
|
||||
|
||||
|
||||
alpha: Optional[MaskInput] = None
|
||||
|
||||
@ -118,7 +118,7 @@ class Wan27ReferenceVideoInputField(BaseModel):
|
||||
class Wan27ReferenceVideoParametersField(BaseModel):
|
||||
resolution: str = Field(...)
|
||||
ratio: str | None = Field(None)
|
||||
duration: int = Field(5, ge=2, le=10)
|
||||
duration: int = Field(5, ge=2, le=15)
|
||||
watermark: bool = Field(False)
|
||||
seed: int = Field(..., ge=0, le=2147483647)
|
||||
|
||||
@ -157,7 +157,7 @@ class Wan27VideoEditInputField(BaseModel):
|
||||
class Wan27VideoEditParametersField(BaseModel):
|
||||
resolution: str = Field(...)
|
||||
ratio: str | None = Field(None)
|
||||
duration: int = Field(0)
|
||||
duration: int | None = Field(0)
|
||||
audio_setting: str = Field("auto")
|
||||
watermark: bool = Field(False)
|
||||
seed: int = Field(..., ge=0, le=2147483647)
|
||||
|
||||
@ -33,9 +33,13 @@ class OpenAIVideoSora2(IO.ComfyNode):
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="OpenAIVideoSora2",
|
||||
display_name="OpenAI Sora - Video",
|
||||
display_name="OpenAI Sora - Video (Deprecated)",
|
||||
category="api node/video/Sora",
|
||||
description="OpenAI video and audio generation.",
|
||||
description=(
|
||||
"OpenAI video and audio generation.\n\n"
|
||||
"DEPRECATION NOTICE: OpenAI will stop serving the Sora v2 API in September 2026. "
|
||||
"This node will be removed from ComfyUI at that time."
|
||||
),
|
||||
inputs=[
|
||||
IO.Combo.Input(
|
||||
"model",
|
||||
|
||||
@ -1646,6 +1646,557 @@ class Wan2ReferenceVideoApi(IO.ComfyNode):
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.output.video_url))
|
||||
|
||||
|
||||
class HappyHorseTextToVideoApi(IO.ComfyNode):
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="HappyHorseTextToVideoApi",
|
||||
display_name="HappyHorse Text to Video",
|
||||
category="api node/video/Wan",
|
||||
description="Generates a video based on a text prompt using the HappyHorse model.",
|
||||
inputs=[
|
||||
IO.DynamicCombo.Input(
|
||||
"model",
|
||||
options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"happyhorse-1.0-t2v",
|
||||
[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
default="",
|
||||
tooltip="Prompt describing the elements and visual features. "
|
||||
"Supports English and Chinese.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"resolution",
|
||||
options=["720P", "1080P"],
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"ratio",
|
||||
options=["16:9", "9:16", "1:1", "4:3", "3:4"],
|
||||
),
|
||||
IO.Int.Input(
|
||||
"duration",
|
||||
default=5,
|
||||
min=3,
|
||||
max=15,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to use for generation.",
|
||||
),
|
||||
IO.Boolean.Input(
|
||||
"watermark",
|
||||
default=False,
|
||||
tooltip="Whether to add an AI-generated watermark to the result.",
|
||||
advanced=True,
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(widgets=["model", "model.resolution", "model.duration"]),
|
||||
expr="""
|
||||
(
|
||||
$res := $lookup(widgets, "model.resolution");
|
||||
$dur := $lookup(widgets, "model.duration");
|
||||
$ppsTable := { "720p": 0.14, "1080p": 0.24 };
|
||||
$pps := $lookup($ppsTable, $res);
|
||||
{ "type": "usd", "usd": $pps * $dur }
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
model: dict,
|
||||
seed: int,
|
||||
watermark: bool,
|
||||
):
|
||||
validate_string(model["prompt"], strip_whitespace=False, min_length=1)
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(
|
||||
path="/proxy/wan/api/v1/services/aigc/video-generation/video-synthesis",
|
||||
method="POST",
|
||||
),
|
||||
response_model=TaskCreationResponse,
|
||||
data=Wan27Text2VideoTaskCreationRequest(
|
||||
model=model["model"],
|
||||
input=Text2VideoInputField(
|
||||
prompt=model["prompt"],
|
||||
negative_prompt=None,
|
||||
),
|
||||
parameters=Wan27Text2VideoParametersField(
|
||||
resolution=model["resolution"],
|
||||
ratio=model["ratio"],
|
||||
duration=model["duration"],
|
||||
seed=seed,
|
||||
watermark=watermark,
|
||||
),
|
||||
),
|
||||
)
|
||||
if not initial_response.output:
|
||||
raise Exception(f"An unknown error occurred: {initial_response.code} - {initial_response.message}")
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/wan/api/v1/tasks/{initial_response.output.task_id}"),
|
||||
response_model=VideoTaskStatusResponse,
|
||||
status_extractor=lambda x: x.output.task_status,
|
||||
poll_interval=7,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.output.video_url))
|
||||
|
||||
|
||||
class HappyHorseImageToVideoApi(IO.ComfyNode):
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="HappyHorseImageToVideoApi",
|
||||
display_name="HappyHorse Image to Video",
|
||||
category="api node/video/Wan",
|
||||
description="Generate a video from a first-frame image using the HappyHorse model.",
|
||||
inputs=[
|
||||
IO.DynamicCombo.Input(
|
||||
"model",
|
||||
options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"happyhorse-1.0-i2v",
|
||||
[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
default="",
|
||||
tooltip="Prompt describing the elements and visual features. "
|
||||
"Supports English and Chinese.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"resolution",
|
||||
options=["720P", "1080P"],
|
||||
),
|
||||
IO.Int.Input(
|
||||
"duration",
|
||||
default=5,
|
||||
min=3,
|
||||
max=15,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
IO.Image.Input(
|
||||
"first_frame",
|
||||
tooltip="First frame image. The output aspect ratio is derived from this image.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to use for generation.",
|
||||
),
|
||||
IO.Boolean.Input(
|
||||
"watermark",
|
||||
default=False,
|
||||
tooltip="Whether to add an AI-generated watermark to the result.",
|
||||
advanced=True,
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(widgets=["model", "model.resolution", "model.duration"]),
|
||||
expr="""
|
||||
(
|
||||
$res := $lookup(widgets, "model.resolution");
|
||||
$dur := $lookup(widgets, "model.duration");
|
||||
$ppsTable := { "720p": 0.14, "1080p": 0.24 };
|
||||
$pps := $lookup($ppsTable, $res);
|
||||
{ "type": "usd", "usd": $pps * $dur }
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
model: dict,
|
||||
first_frame: Input.Image,
|
||||
seed: int,
|
||||
watermark: bool,
|
||||
):
|
||||
media = [
|
||||
Wan27MediaItem(
|
||||
type="first_frame",
|
||||
url=await upload_image_to_comfyapi(cls, image=first_frame),
|
||||
)
|
||||
]
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(
|
||||
path="/proxy/wan/api/v1/services/aigc/video-generation/video-synthesis",
|
||||
method="POST",
|
||||
),
|
||||
response_model=TaskCreationResponse,
|
||||
data=Wan27ImageToVideoTaskCreationRequest(
|
||||
model=model["model"],
|
||||
input=Wan27ImageToVideoInputField(
|
||||
prompt=model["prompt"] or None,
|
||||
negative_prompt=None,
|
||||
media=media,
|
||||
),
|
||||
parameters=Wan27ImageToVideoParametersField(
|
||||
resolution=model["resolution"],
|
||||
duration=model["duration"],
|
||||
seed=seed,
|
||||
watermark=watermark,
|
||||
),
|
||||
),
|
||||
)
|
||||
if not initial_response.output:
|
||||
raise Exception(f"An unknown error occurred: {initial_response.code} - {initial_response.message}")
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/wan/api/v1/tasks/{initial_response.output.task_id}"),
|
||||
response_model=VideoTaskStatusResponse,
|
||||
status_extractor=lambda x: x.output.task_status,
|
||||
poll_interval=7,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.output.video_url))
|
||||
|
||||
|
||||
class HappyHorseVideoEditApi(IO.ComfyNode):
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="HappyHorseVideoEditApi",
|
||||
display_name="HappyHorse Video Edit",
|
||||
category="api node/video/Wan",
|
||||
description="Edit a video using text instructions or reference images with the HappyHorse model. "
|
||||
"Output duration is 3-15s and matches the input video; inputs longer than 15s are truncated.",
|
||||
inputs=[
|
||||
IO.DynamicCombo.Input(
|
||||
"model",
|
||||
options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"happyhorse-1.0-video-edit",
|
||||
[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
default="",
|
||||
tooltip="Editing instructions or style transfer requirements.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"resolution",
|
||||
options=["720P", "1080P"],
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"ratio",
|
||||
options=["16:9", "9:16", "1:1", "4:3", "3:4"],
|
||||
tooltip="Aspect ratio. If not changed, approximates the input video ratio.",
|
||||
),
|
||||
IO.Autogrow.Input(
|
||||
"reference_images",
|
||||
template=IO.Autogrow.TemplateNames(
|
||||
IO.Image.Input("reference_image"),
|
||||
names=[
|
||||
"image1",
|
||||
"image2",
|
||||
"image3",
|
||||
"image4",
|
||||
"image5",
|
||||
],
|
||||
min=0,
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
IO.Video.Input(
|
||||
"video",
|
||||
tooltip="The video to edit.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to use for generation.",
|
||||
),
|
||||
IO.Boolean.Input(
|
||||
"watermark",
|
||||
default=False,
|
||||
tooltip="Whether to add an AI-generated watermark to the result.",
|
||||
advanced=True,
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(widgets=["model", "model.resolution"]),
|
||||
expr="""
|
||||
(
|
||||
$res := $lookup(widgets, "model.resolution");
|
||||
$ppsTable := { "720p": 0.14, "1080p": 0.24 };
|
||||
$pps := $lookup($ppsTable, $res);
|
||||
{ "type": "usd", "usd": $pps, "format": { "suffix": "/second" } }
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
model: dict,
|
||||
video: Input.Video,
|
||||
seed: int,
|
||||
watermark: bool,
|
||||
):
|
||||
validate_string(model["prompt"], strip_whitespace=False, min_length=1)
|
||||
validate_video_duration(video, min_duration=3, max_duration=60)
|
||||
media = [Wan27MediaItem(type="video", url=await upload_video_to_comfyapi(cls, video))]
|
||||
reference_images = model.get("reference_images", {})
|
||||
for key in reference_images:
|
||||
media.append(
|
||||
Wan27MediaItem(
|
||||
type="reference_image", url=await upload_image_to_comfyapi(cls, image=reference_images[key])
|
||||
)
|
||||
)
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(
|
||||
path="/proxy/wan/api/v1/services/aigc/video-generation/video-synthesis",
|
||||
method="POST",
|
||||
),
|
||||
response_model=TaskCreationResponse,
|
||||
data=Wan27VideoEditTaskCreationRequest(
|
||||
model=model["model"],
|
||||
input=Wan27VideoEditInputField(prompt=model["prompt"], media=media),
|
||||
parameters=Wan27VideoEditParametersField(
|
||||
resolution=model["resolution"],
|
||||
ratio=model["ratio"],
|
||||
duration=None,
|
||||
watermark=watermark,
|
||||
seed=seed,
|
||||
),
|
||||
),
|
||||
)
|
||||
if not initial_response.output:
|
||||
raise Exception(f"An unknown error occurred: {initial_response.code} - {initial_response.message}")
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/wan/api/v1/tasks/{initial_response.output.task_id}"),
|
||||
response_model=VideoTaskStatusResponse,
|
||||
status_extractor=lambda x: x.output.task_status,
|
||||
poll_interval=7,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.output.video_url))
|
||||
|
||||
|
||||
class HappyHorseReferenceVideoApi(IO.ComfyNode):
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="HappyHorseReferenceVideoApi",
|
||||
display_name="HappyHorse Reference to Video",
|
||||
category="api node/video/Wan",
|
||||
description="Generate a video featuring a person or object from reference materials with the HappyHorse "
|
||||
"model. Supports single-character performances and multi-character interactions.",
|
||||
inputs=[
|
||||
IO.DynamicCombo.Input(
|
||||
"model",
|
||||
options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"happyhorse-1.0-r2v",
|
||||
[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
default="",
|
||||
tooltip="Prompt describing the video. Use identifiers such as 'character1' and "
|
||||
"'character2' to refer to the reference characters.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"resolution",
|
||||
options=["720P", "1080P"],
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"ratio",
|
||||
options=["16:9", "9:16", "1:1", "4:3", "3:4"],
|
||||
),
|
||||
IO.Int.Input(
|
||||
"duration",
|
||||
default=5,
|
||||
min=3,
|
||||
max=15,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
),
|
||||
IO.Autogrow.Input(
|
||||
"reference_images",
|
||||
template=IO.Autogrow.TemplateNames(
|
||||
IO.Image.Input("reference_image"),
|
||||
names=[
|
||||
"image1",
|
||||
"image2",
|
||||
"image3",
|
||||
"image4",
|
||||
"image5",
|
||||
"image6",
|
||||
"image7",
|
||||
"image8",
|
||||
"image9",
|
||||
],
|
||||
min=1,
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to use for generation.",
|
||||
),
|
||||
IO.Boolean.Input(
|
||||
"watermark",
|
||||
default=False,
|
||||
tooltip="Whether to add an AI-generated watermark to the result.",
|
||||
advanced=True,
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(widgets=["model", "model.resolution", "model.duration"]),
|
||||
expr="""
|
||||
(
|
||||
$res := $lookup(widgets, "model.resolution");
|
||||
$dur := $lookup(widgets, "model.duration");
|
||||
$ppsTable := { "720p": 0.14, "1080p": 0.24 };
|
||||
$pps := $lookup($ppsTable, $res);
|
||||
{ "type": "usd", "usd": $pps * $dur }
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
model: dict,
|
||||
seed: int,
|
||||
watermark: bool,
|
||||
):
|
||||
validate_string(model["prompt"], strip_whitespace=False, min_length=1)
|
||||
media = []
|
||||
reference_images = model.get("reference_images", {})
|
||||
for key in reference_images:
|
||||
media.append(
|
||||
Wan27MediaItem(
|
||||
type="reference_image",
|
||||
url=await upload_image_to_comfyapi(cls, image=reference_images[key]),
|
||||
)
|
||||
)
|
||||
if not media:
|
||||
raise ValueError("At least one reference reference image must be provided.")
|
||||
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(
|
||||
path="/proxy/wan/api/v1/services/aigc/video-generation/video-synthesis",
|
||||
method="POST",
|
||||
),
|
||||
response_model=TaskCreationResponse,
|
||||
data=Wan27ReferenceVideoTaskCreationRequest(
|
||||
model=model["model"],
|
||||
input=Wan27ReferenceVideoInputField(
|
||||
prompt=model["prompt"],
|
||||
negative_prompt=None,
|
||||
media=media,
|
||||
),
|
||||
parameters=Wan27ReferenceVideoParametersField(
|
||||
resolution=model["resolution"],
|
||||
ratio=model["ratio"],
|
||||
duration=model["duration"],
|
||||
watermark=watermark,
|
||||
seed=seed,
|
||||
),
|
||||
),
|
||||
)
|
||||
if not initial_response.output:
|
||||
raise Exception(f"An unknown error occurred: {initial_response.code} - {initial_response.message}")
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/wan/api/v1/tasks/{initial_response.output.task_id}"),
|
||||
response_model=VideoTaskStatusResponse,
|
||||
status_extractor=lambda x: x.output.task_status,
|
||||
poll_interval=7,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.output.video_url))
|
||||
|
||||
|
||||
class WanApiExtension(ComfyExtension):
|
||||
@override
|
||||
async def get_node_list(self) -> list[type[IO.ComfyNode]]:
|
||||
@ -1660,6 +2211,10 @@ class WanApiExtension(ComfyExtension):
|
||||
Wan2VideoContinuationApi,
|
||||
Wan2VideoEditApi,
|
||||
Wan2ReferenceVideoApi,
|
||||
HappyHorseTextToVideoApi,
|
||||
HappyHorseImageToVideoApi,
|
||||
HappyHorseVideoEditApi,
|
||||
HappyHorseReferenceVideoApi,
|
||||
]
|
||||
|
||||
|
||||
|
||||
@ -185,36 +185,6 @@ class SplitImageWithAlpha(io.ComfyNode):
|
||||
return io.NodeOutput(torch.stack(out_images), 1.0 - torch.stack(out_alphas))
|
||||
|
||||
|
||||
class SplitImageChannels(io.ComfyNode):
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return io.Schema(
|
||||
node_id="SplitImageChannels",
|
||||
search_aliases=["convert to grayscale", "extract channels", "grayscale", "split channels", "RGB channels"],
|
||||
display_name="Split Image Channels",
|
||||
category="mask/compositing",
|
||||
inputs=[
|
||||
io.Image.Input("image"),
|
||||
],
|
||||
outputs=[
|
||||
io.Image.Output(display_name="red"),
|
||||
io.Image.Output(display_name="green"),
|
||||
io.Image.Output(display_name="blue"),
|
||||
io.Mask.Output(display_name="alpha")
|
||||
],
|
||||
)
|
||||
|
||||
@classmethod
|
||||
def execute(cls, image: torch.Tensor) -> io.NodeOutput:
|
||||
images = [i[:,:,:3] for i in image]
|
||||
stacked = torch.stack(images)
|
||||
reds = stacked[:, :, :, 0:1].repeat(1, 1, 1, 3)
|
||||
greens = stacked[:, :, :, 1:2].repeat(1, 1, 1, 3)
|
||||
blues = stacked[:, :, :, 2:3].repeat(1, 1, 1, 3)
|
||||
alphas = [i[:,:,3] if i.shape[2] > 3 else torch.ones_like(i[:,:,0]) for i in image]
|
||||
return io.NodeOutput(reds, greens, blues, 1.0 - torch.stack(alphas))
|
||||
|
||||
|
||||
class JoinImageWithAlpha(io.ComfyNode):
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
@ -247,7 +217,6 @@ class CompositingExtension(ComfyExtension):
|
||||
async def get_node_list(self) -> list[type[io.ComfyNode]]:
|
||||
return [
|
||||
PorterDuffImageComposite,
|
||||
SplitImageChannels,
|
||||
SplitImageWithAlpha,
|
||||
JoinImageWithAlpha,
|
||||
]
|
||||
|
||||
@ -54,7 +54,7 @@ class EmptySD3LatentImage(io.ComfyNode):
|
||||
|
||||
@classmethod
|
||||
def execute(cls, width, height, batch_size=1) -> io.NodeOutput:
|
||||
latent = torch.zeros([batch_size, 16, height // 8, width // 8], device=comfy.model_management.intermediate_device())
|
||||
latent = torch.zeros([batch_size, 16, height // 8, width // 8], device=comfy.model_management.intermediate_device(), dtype=comfy.model_management.intermediate_dtype())
|
||||
return io.NodeOutput({"samples": latent, "downscale_ratio_spacial": 8})
|
||||
|
||||
generate = execute # TODO: remove
|
||||
|
||||
@ -1,3 +1,3 @@
|
||||
# This file is automatically generated by the build process when version is
|
||||
# updated in pyproject.toml.
|
||||
__version__ = "0.19.3"
|
||||
__version__ = "0.20.0"
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "ComfyUI"
|
||||
version = "0.19.3"
|
||||
version = "0.20.0"
|
||||
readme = "README.md"
|
||||
license = { file = "LICENSE" }
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
comfyui-frontend-package==1.42.14
|
||||
comfyui-workflow-templates==0.9.62
|
||||
comfyui-frontend-package==1.42.15
|
||||
comfyui-workflow-templates==0.9.63
|
||||
comfyui-embedded-docs==0.4.4
|
||||
torch
|
||||
torchsde
|
||||
|
||||
Reference in New Issue
Block a user