nodes/RiceRound-ComfyUI_RiceRound
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RiceRound
2025-03-18 01:47:54 +08:00
parent 2a93c178c3
commit 1be37e8140
7 changed files with 653 additions and 208 deletions
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__init__.py
+10
View File
@@ -282,11 +282,21 @@ if is_on_riceround:
@web.middleware
async def check_login_status(request, handler):
if is_on_riceround:
if request.path.startswith("/internal/"):
return await handler(request)
if (
request.headers.get("owner") == "share_client"
and request.headers.get("client_random") == client_random
):
return await handler(request)
else:
try:
headers = dict(request.headers)
logging.warn(f"### check_login_status failed - Headers: {headers}")
except Exception as e:
logging.warn(
f"### check_login_status failed - Error parsing request: {str(e)}"
)
return web.json_response({"error": "Access denied"}, status=403)
return await handler(request)
encrypt_node.py
+36 -5
View File
@@ -139,7 +139,6 @@ class RiceRoundEncryptNode:
PromptServer.instance.send_sync(
"riceround_toast", {"content": "发布失败，请检查发布步骤", "type": "error"}
)
return {}
else:
PromptServer.instance.send_sync(
"riceround_toast",
@@ -575,8 +574,10 @@ class Encrypt:
def add_decrypt_node(self, workflow):
new_node_ids = set()
self.last_node_id += 1
decrypt_node_id = self.last_node_id
decrypt_to_save_link_id = self.last_link_id + 1
encrypt_node = {
"id": self.last_node_id,
"id": decrypt_node_id,
"type": "RiceRoundDecryptNode",
"pos": [420, 0],
"size": [500, 150],
@@ -593,7 +594,10 @@ class Encrypt:
"slot_index": 0,
}
],
"properties": {"Node name for S&R": "RiceRoundDecryptNode"},
"properties": {
"Node name for S&R": "RiceRoundDecryptNode",
"cnr_id": "comfyui_riceround",
},
"widgets_values": [str(self.template_id), 735127949069071, "randomize"],
}
for idx, (owner_id, owner_node) in enumerate(self.input_node_map.items()):
@@ -611,11 +615,38 @@ class Encrypt:
encrypt_node["inputs"].append(input_entry)
if link_type not in ["IMAGE", "STRING"]:
link_type = "STRING"
links = [link_id, owner_id, 0, self.last_node_id, idx, link_type]
links = [link_id, owner_id, 0, decrypt_node_id, idx, link_type]
workflow["links"].append(links)
self.last_node_id += 1
save_image_node = {
"id": self.last_node_id,
"type": "SaveImage",
"pos": [982, 5],
"size": [315, 58],
"flags": {},
"order": 21,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": decrypt_to_save_link_id,
"label": "图像",
}
],
"outputs": [],
"properties": {"Node name for S&R": "SaveImage", "cnr_id": "comfy-core"},
"widgets_values": ["ComfyUI"],
}
encrypt_node["outputs"][0]["links"] = [decrypt_to_save_link_id]
workflow["links"].append(
[decrypt_to_save_link_id, decrypt_node_id, 0, self.last_node_id, 0, "IMAGE"]
)
new_node_ids.add(decrypt_node_id)
new_node_ids.add(self.last_node_id)
workflow["nodes"].append(encrypt_node)
workflow["nodes"].extend([encrypt_node, save_image_node])
workflow["last_node_id"] = self.last_node_id
workflow["last_link_id"] = decrypt_to_save_link_id
return new_node_ids
def output_file(self, workflow, prefix):
example_workflows/simple_workflow.json
+577 -173
View File
@@ -1,180 +1,584 @@
{
"last_node_id": 14,
"last_link_id": 12,
"nodes": [
"last_node_id": 14,
"last_link_id": 13,
"nodes": [
{
"id": 7,
"type": "CLIPTextEncode",
"pos": [
413,
389
],
"size": [
425.27801513671875,
180.6060791015625
],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"id": 11,
"type": "RiceRoundInputTextNode",
"pos": [
-192.8919677734375,
-94.64482116699219
],
"size": [
400,
200
],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "STRING",
"type": "STRING",
"links": [
10
],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "RiceRoundInputTextNode"
},
"widgets_values": [
"1 dog"
]
},
{
"id": 12,
"type": "RiceRoundSimpleChoiceNode",
"pos": [
-410.595458984375,
246.42388916015625
],
"size": [
315,
82
],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "value",
"type": "COMBO",
"links": [
11
],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "RiceRoundSimpleChoiceNode"
},
"widgets_values": [
"ckpt_name",
"1.5\\dreamshaper_8_v8.safetensors"
]
},
{
"id": 14,
"type": "RiceRoundDecryptNode",
"pos": [
420,
0
],
"size": [
500,
150
],
"flags": {},
"mode": 0,
"order": 20,
"inputs": [
{
"name": "input_anything (11)",
"type": "*",
"link": 10,
"label": "input_anything (11)",
"shape": 7
},
{
"name": "input_anything1 (12)",
"type": "*",
"link": 11,
"label": "input_anything1 (12)"
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [],
"label": "IMAGE",
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "RiceRoundDecryptNode"
},
"widgets_values": [
"7bd02cb89b0fdeb142dcadc58dcc7ba9",
735127949069071,
"randomize"
]
"name": "clip",
"label": "CLIP",
"type": "CLIP",
"link": 5
}
],
"links": [
],
"outputs": [
{
"name": "CONDITIONING",
"label": "条件",
"type": "CONDITIONING",
"links": [
6
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.15",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"text, watermark",
[
10,
11,
0,
14,
0,
"STRING"
],
[
11,
12,
0,
14,
1,
"STRING"
false,
true
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.9646149645000013,
"offset": [
582.684842346158,
218.46366128891333
]
},
"node_versions": {
"comfy-core": "0.3.12",
"ComfyUI_RiceRound": "d3b0a8353c18e926eaaeb27f72a72c46d8b13caa"
},
"choice_node_map": {
"12": [
"1.5\\dreamshaper_8_v8.safetensors",
"1.5\\majicmixRealistic_v7.safetensors",
"1.5\\儿童摄影｜WFChild_Inpainting v1.0.safetensors",
"1.5\\林鹤-人像光影摄影极限写实真实感大模型_V2.6.1.safetensors",
"1.5\\绪儿-写实 帅哥美女模型_东方v4.safetensors",
"Flux\\F.1-Wedding Photography Anss_F.1-V1.safetensors",
"Flux\\Flux.1-绝美风景摄影MAX_v1.0.safetensors",
"Flux\\flux1-dev-bnb-nf4-v2.safetensors",
"Flux\\flux1-dev.safetensors",
"Flux\\产品写实｜F.1简朴归真-电商全能_商业视觉KV海报产品设计_V1.safetensors",
"Flux\\绘梦光影魔术师 F.1 _全能写实_商业电商产品广告摄影_光影全能魔术师_V1.safetensors",
"Flux\\美丽深邃的亚细亚_预览版.safetensors",
"SUPIR-v0Q.ckpt",
"XL\\Albedobase_SDXLHyper_v1.safetensors",
"XL\\SDXL古风汉服MAX_v3.0.safetensors",
"XL\\XL_realvisxlV50_v40Bakedvae.safetensors",
"XL\\protovisionXLHighFidelity3D_beta0520Bakedvae.safetensors",
"XL\\sd_xl_base_1.0.safetensors",
"XL\\tqingXLV15Turbolcm_v15.safetensors",
"XL\\万享XL_超写实摄影V8.4_V8.4.safetensors",
"XL\\万享XL进阶_写实版_V7.0.safetensors",
"kolors\\UNIT-可丽（Kolors Girl）女装底模中英文加速版_可图KOLORSGirl.safetensors",
"kolors\\kolors-32-diffusion_pytorch_kolors-32-diffu.safetensors",
"kolors\\可图kolors-base-1.0-vae-fp16_kolors-base-1.0.safetensors"
]
}
]
},
"version": 0.4
{
"id": 3,
"type": "KSampler",
"pos": [
863,
186
],
"size": [
315,
474
],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "model",
"label": "模型",
"type": "MODEL",
"link": 1
},
{
"name": "positive",
"label": "正面条件",
"type": "CONDITIONING",
"link": 4
},
{
"name": "negative",
"label": "负面条件",
"type": "CONDITIONING",
"link": 6
},
{
"name": "latent_image",
"label": "Latent",
"type": "LATENT",
"link": 2
},
{
"name": "seed",
"label": "随机种",
"type": "INT",
"widget": {
"name": "seed"
},
"link": 13
}
],
"outputs": [
{
"name": "LATENT",
"label": "Latent",
"type": "LATENT",
"links": [
7
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.15",
"Node name for S&R": "KSampler"
},
"widgets_values": [
53308676468181,
"randomize",
20,
8,
"euler",
"normal",
1
]
},
{
"id": 6,
"type": "CLIPTextEncode",
"pos": [
415,
186
],
"size": [
422.84503173828125,
164.31304931640625
],
"flags": {},
"order": 5,
"mode": 0,
"inputs": [
{
"name": "clip",
"label": "CLIP",
"type": "CLIP",
"link": 3
},
{
"name": "text",
"label": "文本",
"type": "STRING",
"widget": {
"name": "text"
},
"link": 10
}
],
"outputs": [
{
"name": "CONDITIONING",
"label": "条件",
"type": "CONDITIONING",
"links": [
4
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.15",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"beautiful scenery nature glass bottle landscape, , purple galaxy bottle,",
[
false,
true
]
]
},
{
"id": 4,
"type": "CheckpointLoaderSimple",
"pos": [
-16.503997802734375,
240.74636840820312
],
"size": [
315,
98
],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
"name": "ckpt_name",
"label": "Checkpoint名称",
"type": "COMBO",
"widget": {
"name": "ckpt_name"
},
"link": 11
}
],
"outputs": [
{
"name": "MODEL",
"label": "模型",
"type": "MODEL",
"links": [
1
],
"slot_index": 0
},
{
"name": "CLIP",
"label": "CLIP",
"type": "CLIP",
"links": [
3,
5
],
"slot_index": 1
},
{
"name": "VAE",
"label": "VAE",
"type": "VAE",
"links": [
8
],
"slot_index": 2
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.15",
"Node name for S&R": "CheckpointLoaderSimple"
},
"widgets_values": [
"v1-5-pruned-emaonly.ckpt"
]
},
{
"id": 8,
"type": "VAEDecode",
"pos": [
1209,
188
],
"size": [
210,
46
],
"flags": {},
"order": 8,
"mode": 0,
"inputs": [
{
"name": "samples",
"label": "Latent",
"type": "LATENT",
"link": 7
},
{
"name": "vae",
"label": "VAE",
"type": "VAE",
"link": 8
}
],
"outputs": [
{
"name": "IMAGE",
"label": "图像",
"type": "IMAGE",
"links": [
12
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.15",
"Node name for S&R": "VAEDecode"
},
"widgets_values": []
},
{
"id": 5,
"type": "EmptyLatentImage",
"pos": [
473,
609
],
"size": [
315,
106
],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "LATENT",
"label": "Latent",
"type": "LATENT",
"links": [
2
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.15",
"Node name for S&R": "EmptyLatentImage"
},
"widgets_values": [
512,
512,
1
]
},
{
"id": 11,
"type": "RiceRoundInputTextNode",
"pos": [
-192.8919677734375,
-94.64482116699219
],
"size": [
400,
200
],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "STRING",
"label": "STRING",
"type": "STRING",
"links": [
10
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfyui_riceround",
"ver": "4f9bb568efd29815148c54edf41eb1e5f040098b",
"Node name for S&R": "RiceRoundInputTextNode"
},
"widgets_values": [
"1 dog",
[
false,
true
]
]
},
{
"id": 12,
"type": "RiceRoundSimpleChoiceNode",
"pos": [
-410.595458984375,
246.42388916015625
],
"size": [
315,
82
],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "value",
"label": "value",
"type": "COMBO",
"links": [
11
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfyui_riceround",
"ver": "4f9bb568efd29815148c54edf41eb1e5f040098b",
"Node name for S&R": "RiceRoundSimpleChoiceNode"
},
"widgets_values": [
"ckpt_name",
"1.5\\dreamshaper_8_v8.safetensors"
]
},
{
"id": 13,
"type": "RiceRoundEncryptNode",
"pos": [
1510.3780517578125,
289.9645690917969
],
"size": [
400,
318
],
"flags": {},
"order": 9,
"mode": 0,
"inputs": [
{
"name": "images",
"label": "images",
"type": "IMAGE",
"link": 12
}
],
"outputs": [],
"properties": {
"cnr_id": "comfyui_riceround",
"ver": "4f9bb568efd29815148c54edf41eb1e5f040098b",
"Node name for S&R": "RiceRoundEncryptNode"
},
"widgets_values": [
"Unsaved Workflow - ComfyUI",
"7bd02cb89b0fdeb142dcadc58dcc7ba9",
null
]
},
{
"id": 14,
"type": "RiceRoundRandomSeedNode",
"pos": [
552.6851196289062,
88.35224914550781
],
"size": [
210,
26
],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "INT",
"label": "INT",
"type": "INT",
"links": [
13
],
"slot_index": 0
}
],
"properties": {
"cnr_id": "comfyui_riceround",
"ver": "4f9bb568efd29815148c54edf41eb1e5f040098b",
"Node name for S&R": "RiceRoundRandomSeedNode"
}
}
],
"links": [
[
1,
4,
0,
3,
0,
"MODEL"
],
[
2,
5,
0,
3,
3,
"LATENT"
],
[
3,
4,
1,
6,
0,
"CLIP"
],
[
4,
6,
0,
3,
1,
"CONDITIONING"
],
[
5,
4,
1,
7,
0,
"CLIP"
],
[
6,
7,
0,
3,
2,
"CONDITIONING"
],
[
7,
3,
0,
8,
0,
"LATENT"
],
[
8,
4,
2,
8,
1,
"VAE"
],
[
10,
11,
0,
6,
1,
"STRING"
],
[
11,
12,
0,
4,
0,
"COMBO"
],
[
12,
8,
0,
13,
0,
"IMAGE"
],
[
13,
14,
0,
3,
4,
"INT"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.7972024500000006,
"offset": [
1381.5789126523111,
375.7707577101947
]
},
"node_versions": {
"comfy-core": "0.3.12",
"ComfyUI_RiceRound": "d3b0a8353c18e926eaaeb27f72a72c46d8b13caa"
}
},
"version": 0.4
}
input_node.py
-12
View File
@@ -85,7 +85,6 @@ class RiceRoundSimpleImageNode(LoadImage):
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
CATEGORY = "RiceRound/Input"
FUNCTION = "load_image"
@@ -100,7 +99,6 @@ class RiceRoundImageNode(LoadImage):
RETURN_TYPES = "IMAGE", "MASK"
RETURN_NAMES = "image", "mask"
OUTPUT_NODE = True
CATEGORY = "RiceRound/Input"
FUNCTION = "load_image"
@@ -122,7 +120,6 @@ class RiceRoundDownloadImageNode:
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "load_image"
CATEGORY = "RiceRound/Input"
@@ -142,7 +139,6 @@ class RiceRoundDownloadImageAndMaskNode:
RETURN_TYPES = "IMAGE", "MASK"
RETURN_NAMES = "image", "mask"
OUTPUT_NODE = True
FUNCTION = "load_image"
CATEGORY = "RiceRound/Input"
@@ -194,7 +190,6 @@ class RiceRoundImageBridgeNode:
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "bridge"
CATEGORY = "RiceRound/Input"
@@ -212,7 +207,6 @@ class RiceRoundMaskBridgeNode:
RETURN_TYPES = ("MASK",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "bridge"
CATEGORY = "RiceRound/Input"
@@ -230,7 +224,6 @@ class RiceRoundDownloadMaskNode:
RETURN_TYPES = ("MASK",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "load_mask"
CATEGORY = "RiceRound/Input"
@@ -267,7 +260,6 @@ class RiceRoundIntNode:
RETURN_TYPES = ("INT",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "load"
CATEGORY = "RiceRound/Input"
@@ -310,7 +302,6 @@ class RiceRoundFloatNode:
RETURN_TYPES = ("FLOAT",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "load"
CATEGORY = "RiceRound/Input"
@@ -328,7 +319,6 @@ class RiceRoundStrToFloatNode:
RETURN_TYPES = ("FLOAT",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "load"
CATEGORY = "RiceRound/Input"
@@ -365,7 +355,6 @@ class RiceRoundStrToBooleanNode:
RETURN_TYPES = ("BOOLEAN",)
RETURN_NAMES = ("value",)
OUTPUT_NODE = True
FUNCTION = "load"
CATEGORY = "RiceRound/Input"
@@ -389,7 +378,6 @@ class RiceRoundInputTextNode:
}
RETURN_TYPES = ("STRING",)
OUTPUT_NODE = True
FUNCTION = "load"
CATEGORY = "RiceRound/Input"
js/riceround.js
+26 -14
View File
@@ -215,7 +215,7 @@ async function waitForObject(e, t, o = 5e3) {
export async function initDialogLib(e = !1) {
if (!dialogLibHasLoaded) try {
const e = "https://unpkg.com/vue@3/dist/vue.global.js";
const e = "https://cdn.bootcdn.net/ajax/libs/vue/3.3.4/vue.global.js";
await loadResource(e, ""), await waitForObject((() => window.Vue), "vue");
const t = "https://cdn.jsdelivr.net/npm/element-plus", o = "https://cdn.jsdelivr.net/npm/element-plus/dist/index.css";
if (await loadResource(t, o), await waitForObject((() => window.ElementPlus), "element-plus"),
@@ -250,7 +250,7 @@ function changeWidgets(e, t, o, n) {
"customtext" === t && (t = "text");
const i = n.options;
var a = e.widgets[1].value;
i?.values?.includes(a) || (a = n.value), "RiceRoundAdvancedChoiceNode" == e.comfyClass || "RiceRoundSimpleChoiceNode" == e.comfyClass ? changeWidget(e.widgets[1], t, a, i) : "RiceRoundIntNode" != e.comfyClass && "RiceRoundFloatNode" != e.comfyClass || 4 == e.widgets.length && (changeWidget(e.widgets[1], "number", a, i),
i?.values?.includes(a) || (a = n.value), "RiceRoundAdvancedChoiceNode" == e.comfyClass || "RiceRoundSimpleChoiceNode" == e.comfyClass ? "combo" === t ? setupComboWidget(e.widgets[1], e, 1, i.values) : changeWidget(e.widgets[1], t, a, i) : "RiceRoundIntNode" != e.comfyClass && "RiceRoundFloatNode" != e.comfyClass || 4 == e.widgets.length && (changeWidget(e.widgets[1], "number", a, i),
changeWidget(e.widgets[2], "number", i?.min ?? 0, i), changeWidget(e.widgets[3], "number", i?.max ?? 100, i));
}
@@ -335,20 +335,29 @@ api.addEventListener("riceround_login_dialog", (e => {
}), send_onstart();
}));
let applySimpleChoiceNodeExtraLogicTimer = null;
const nodeTimersMap = new Map;
function setupComboWidget(e, t, o, n) {
e.type = "combo", e.options = {
values: n
}, n.includes(e.value) || (e.value = n[0]);
const i = t.id;
e.callback = function(e) {
const t = app.graph._nodes_by_id[i];
t?.widgets?.[o] && (t.widgets[o].value = e, t.setDirtyCanvas(!0));
};
}
function applySimpleChoiceNodeExtraLogic(e, t) {
applySimpleChoiceNodeExtraLogicTimer && clearTimeout(applySimpleChoiceNodeExtraLogicTimer),
applySimpleChoiceNodeExtraLogicTimer = setTimeout((() => {
applySimpleChoiceNodeExtraLogicTimer = null;
if (!e?.id) return;
nodeTimersMap.has(e.id) && (clearTimeout(nodeTimersMap.get(e.id)), nodeTimersMap.delete(e.id));
const o = setTimeout((() => {
nodeTimersMap.delete(e.id);
const o = t.graph.extra?.choice_node_map;
if (e && e.widgets && 2 === e.widgets.length && o && o[e.id]) {
const t = {
values: o[e.id]
};
changeWidget(e.widgets[1], "combo", e.widgets[1].value, t);
}
2 === e?.widgets?.length && o?.[e.id] && (setupComboWidget(e.widgets[1], e, 1, o[e.id]),
e.setDirtyCanvas(!0));
}), 200);
nodeTimersMap.set(e.id, o);
}
function adaptWidgetsToConnection(e) {
@@ -381,8 +390,11 @@ function setupParameterNode(e) {
};
const n = e.prototype.onConnectOutput;
e.prototype.onConnectOutput = function(e, t, o, i, a) {
return !(!o.widget && !(o.type in [ "STRING", "COMBO", "combo" ])) && (!n || (result = n.apply(this, arguments),
result));
if (!(o.widget || [ "STRING", "COMBO", "combo" ].includes(o.type) || o.type.includes("*"))) return !1;
if (n) {
return n.apply(this, arguments);
}
return !0;
};
const i = e.prototype.onConnectionsChange;
e.prototype.onConnectionsChange = function(e, t, o, n, a) {
pyproject.toml
+1 -1
View File
@@ -1,7 +1,7 @@
[project]
name = "comfyui_riceround"
description = "RiceRound is an open-source project that migrates local AI workflows (built with ComfyUI) to the cloud, enabling distributed deployment. Creators can design and run workflows while monitoring progress and node status in real-time. The platform supports one-click cloud node generation and online page creation."
version = "1.1.1"
version = "1.2.0"
license = {file = "LICENSE"}
dependencies = ["aiohttp", "pyzipper", "websockets", "portalocker", "tomlkit"]
static/dialog-lib.umd.cjs
+3 -3
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