// @ts-check
///
const { start, createDefaultWorkflow } = require("../utils");
const lg = require("../utils/litegraph");
describe("group node", () => {
beforeEach(() => {
lg.setup(global);
});
afterEach(() => {
lg.teardown(global);
});
/**
*
* @param {*} app
* @param {*} graph
* @param {*} name
* @param {*} nodes
* @returns { Promise> }
*/
async function convertToGroup(app, graph, name, nodes) {
// Select the nodes we are converting
for (const n of nodes) {
n.select(true);
}
expect(Object.keys(app.canvas.selected_nodes).sort((a, b) => +a - +b)).toEqual(
nodes.map((n) => n.id + "").sort((a, b) => +a - +b)
);
global.prompt = jest.fn().mockImplementation(() => name);
const groupNode = await nodes[0].menu["Convert to Group Node"].call(false);
// Check group name was requested
expect(window.prompt).toHaveBeenCalled();
// Ensure old nodes are removed
for (const n of nodes) {
expect(n.isRemoved).toBeTruthy();
}
expect(groupNode.type).toEqual("workflow/" + name);
return graph.find(groupNode);
}
/**
* @param { Record | number[] } idMap
* @param { Record> } valueMap
*/
function getOutput(idMap = {}, valueMap = {}) {
if (idMap instanceof Array) {
idMap = idMap.reduce((p, n) => {
p[n] = n + "";
return p;
}, {});
}
const expected = {
1: { inputs: { ckpt_name: "model1.safetensors", ...valueMap?.[1] }, class_type: "CheckpointLoaderSimple" },
2: { inputs: { text: "positive", clip: ["1", 1], ...valueMap?.[2] }, class_type: "CLIPTextEncode" },
3: { inputs: { text: "negative", clip: ["1", 1], ...valueMap?.[3] }, class_type: "CLIPTextEncode" },
4: { inputs: { width: 512, height: 512, batch_size: 1, ...valueMap?.[4] }, class_type: "EmptyLatentImage" },
5: {
inputs: {
seed: 0,
steps: 20,
cfg: 8,
sampler_name: "euler",
scheduler: "normal",
denoise: 1,
model: ["1", 0],
positive: ["2", 0],
negative: ["3", 0],
latent_image: ["4", 0],
...valueMap?.[5],
},
class_type: "KSampler",
},
6: { inputs: { samples: ["5", 0], vae: ["1", 2], ...valueMap?.[6] }, class_type: "VAEDecode" },
7: { inputs: { filename_prefix: "ComfyUI", images: ["6", 0], ...valueMap?.[7] }, class_type: "SaveImage" },
};
// Map old IDs to new at the top level
const mapped = {};
for (const oldId in idMap) {
mapped[idMap[oldId]] = expected[oldId];
delete expected[oldId];
}
Object.assign(mapped, expected);
// Map old IDs to new inside links
for (const k in mapped) {
for (const input in mapped[k].inputs) {
const v = mapped[k].inputs[input];
if (v instanceof Array) {
if (v[0] in idMap) {
v[0] = idMap[v[0]] + "";
}
}
}
}
return mapped;
}
test("can be created from selected nodes", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const group = await convertToGroup(app, graph, "test", [nodes.pos, nodes.neg, nodes.empty]);
// Ensure links are now to the group node
expect(group.inputs).toHaveLength(2);
expect(group.outputs).toHaveLength(3);
expect(group.inputs.map((i) => i.input.name)).toEqual(["clip", "CLIPTextEncode clip"]);
expect(group.outputs.map((i) => i.output.name)).toEqual(["LATENT", "CONDITIONING", "CLIPTextEncode CONDITIONING"]);
// ckpt clip to both clip inputs on the group
expect(nodes.ckpt.outputs.CLIP.connections.map((t) => [t.targetNode.id, t.targetInput.index])).toEqual([
[group.id, 0],
[group.id, 1],
]);
// group conditioning to sampler
expect(group.outputs["CONDITIONING"].connections.map((t) => [t.targetNode.id, t.targetInput.index])).toEqual([
[nodes.sampler.id, 1],
]);
// group conditioning 2 to sampler
expect(
group.outputs["CLIPTextEncode CONDITIONING"].connections.map((t) => [t.targetNode.id, t.targetInput.index])
).toEqual([[nodes.sampler.id, 2]]);
// group latent to sampler
expect(group.outputs["LATENT"].connections.map((t) => [t.targetNode.id, t.targetInput.index])).toEqual([
[nodes.sampler.id, 3],
]);
});
test("maintains all output links on conversion", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const save2 = ez.SaveImage(...nodes.decode.outputs);
const save3 = ez.SaveImage(...nodes.decode.outputs);
// Ensure an output with multiple links maintains them on convert to group
const group = await convertToGroup(app, graph, "test", [nodes.sampler, nodes.decode]);
expect(group.outputs[0].connections.length).toBe(3);
expect(group.outputs[0].connections[0].targetNode.id).toBe(nodes.save.id);
expect(group.outputs[0].connections[1].targetNode.id).toBe(save2.id);
expect(group.outputs[0].connections[2].targetNode.id).toBe(save3.id);
// and they're still linked when converting back to nodes
const newNodes = group.menu["Convert to nodes"].call();
const decode = graph.find(newNodes.find((n) => n.type === "VAEDecode"));
expect(decode.outputs[0].connections.length).toBe(3);
expect(decode.outputs[0].connections[0].targetNode.id).toBe(nodes.save.id);
expect(decode.outputs[0].connections[1].targetNode.id).toBe(save2.id);
expect(decode.outputs[0].connections[2].targetNode.id).toBe(save3.id);
});
test("can be be converted back to nodes", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const toConvert = [nodes.pos, nodes.neg, nodes.empty, nodes.sampler];
const group = await convertToGroup(app, graph, "test", toConvert);
// Edit some values to ensure they are set back onto the converted nodes
expect(group.widgets["text"].value).toBe("positive");
group.widgets["text"].value = "pos";
expect(group.widgets["CLIPTextEncode text"].value).toBe("negative");
group.widgets["CLIPTextEncode text"].value = "neg";
expect(group.widgets["width"].value).toBe(512);
group.widgets["width"].value = 1024;
expect(group.widgets["sampler_name"].value).toBe("euler");
group.widgets["sampler_name"].value = "ddim";
expect(group.widgets["control_after_generate"].value).toBe("randomize");
group.widgets["control_after_generate"].value = "fixed";
/** @type { Array } */
group.menu["Convert to nodes"].call();
// ensure widget values are set
const pos = graph.find(nodes.pos.id);
expect(pos.node.type).toBe("CLIPTextEncode");
expect(pos.widgets["text"].value).toBe("pos");
const neg = graph.find(nodes.neg.id);
expect(neg.node.type).toBe("CLIPTextEncode");
expect(neg.widgets["text"].value).toBe("neg");
const empty = graph.find(nodes.empty.id);
expect(empty.node.type).toBe("EmptyLatentImage");
expect(empty.widgets["width"].value).toBe(1024);
const sampler = graph.find(nodes.sampler.id);
expect(sampler.node.type).toBe("KSampler");
expect(sampler.widgets["sampler_name"].value).toBe("ddim");
expect(sampler.widgets["control_after_generate"].value).toBe("fixed");
// validate links
expect(nodes.ckpt.outputs.CLIP.connections.map((t) => [t.targetNode.id, t.targetInput.index])).toEqual([
[pos.id, 0],
[neg.id, 0],
]);
expect(pos.outputs["CONDITIONING"].connections.map((t) => [t.targetNode.id, t.targetInput.index])).toEqual([
[nodes.sampler.id, 1],
]);
expect(neg.outputs["CONDITIONING"].connections.map((t) => [t.targetNode.id, t.targetInput.index])).toEqual([
[nodes.sampler.id, 2],
]);
expect(empty.outputs["LATENT"].connections.map((t) => [t.targetNode.id, t.targetInput.index])).toEqual([
[nodes.sampler.id, 3],
]);
});
test("it can embed reroutes as inputs", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
// Add and connect a reroute to the clip text encodes
const reroute = ez.Reroute();
nodes.ckpt.outputs.CLIP.connectTo(reroute.inputs[0]);
reroute.outputs[0].connectTo(nodes.pos.inputs[0]);
reroute.outputs[0].connectTo(nodes.neg.inputs[0]);
// Convert to group and ensure we only have 1 input of the correct type
const group = await convertToGroup(app, graph, "test", [nodes.pos, nodes.neg, nodes.empty, reroute]);
expect(group.inputs).toHaveLength(1);
expect(group.inputs[0].input.type).toEqual("CLIP");
expect((await graph.toPrompt()).output).toEqual(getOutput());
});
test("it can embed reroutes as outputs", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
// Add a reroute with no output so we output IMAGE even though its used internally
const reroute = ez.Reroute();
nodes.decode.outputs.IMAGE.connectTo(reroute.inputs[0]);
// Convert to group and ensure there is an IMAGE output
const group = await convertToGroup(app, graph, "test", [nodes.decode, nodes.save, reroute]);
expect(group.outputs).toHaveLength(1);
expect(group.outputs[0].output.type).toEqual("IMAGE");
expect((await graph.toPrompt()).output).toEqual(getOutput([nodes.decode.id, nodes.save.id]));
});
test("it can embed reroutes as pipes", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
// Use reroutes as a pipe
const rerouteModel = ez.Reroute();
const rerouteClip = ez.Reroute();
const rerouteVae = ez.Reroute();
nodes.ckpt.outputs.MODEL.connectTo(rerouteModel.inputs[0]);
nodes.ckpt.outputs.CLIP.connectTo(rerouteClip.inputs[0]);
nodes.ckpt.outputs.VAE.connectTo(rerouteVae.inputs[0]);
const group = await convertToGroup(app, graph, "test", [rerouteModel, rerouteClip, rerouteVae]);
expect(group.outputs).toHaveLength(3);
expect(group.outputs.map((o) => o.output.type)).toEqual(["MODEL", "CLIP", "VAE"]);
expect(group.outputs).toHaveLength(3);
expect(group.outputs.map((o) => o.output.type)).toEqual(["MODEL", "CLIP", "VAE"]);
group.outputs[0].connectTo(nodes.sampler.inputs.model);
group.outputs[1].connectTo(nodes.pos.inputs.clip);
group.outputs[1].connectTo(nodes.neg.inputs.clip);
});
test("can handle reroutes used internally", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
let reroutes = [];
let prevNode = nodes.ckpt;
for(let i = 0; i < 5; i++) {
const reroute = ez.Reroute();
prevNode.outputs[0].connectTo(reroute.inputs[0]);
prevNode = reroute;
reroutes.push(reroute);
}
prevNode.outputs[0].connectTo(nodes.sampler.inputs.model);
const group = await convertToGroup(app, graph, "test", [...reroutes, ...Object.values(nodes)]);
expect((await graph.toPrompt()).output).toEqual(getOutput());
group.menu["Convert to nodes"].call();
expect((await graph.toPrompt()).output).toEqual(getOutput());
});
test("creates with widget values from inner nodes", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
nodes.ckpt.widgets.ckpt_name.value = "model2.ckpt";
nodes.pos.widgets.text.value = "hello";
nodes.neg.widgets.text.value = "world";
nodes.empty.widgets.width.value = 256;
nodes.empty.widgets.height.value = 1024;
nodes.sampler.widgets.seed.value = 1;
nodes.sampler.widgets.control_after_generate.value = "increment";
nodes.sampler.widgets.steps.value = 8;
nodes.sampler.widgets.cfg.value = 4.5;
nodes.sampler.widgets.sampler_name.value = "uni_pc";
nodes.sampler.widgets.scheduler.value = "karras";
nodes.sampler.widgets.denoise.value = 0.9;
const group = await convertToGroup(app, graph, "test", [
nodes.ckpt,
nodes.pos,
nodes.neg,
nodes.empty,
nodes.sampler,
]);
expect(group.widgets["ckpt_name"].value).toEqual("model2.ckpt");
expect(group.widgets["text"].value).toEqual("hello");
expect(group.widgets["CLIPTextEncode text"].value).toEqual("world");
expect(group.widgets["width"].value).toEqual(256);
expect(group.widgets["height"].value).toEqual(1024);
expect(group.widgets["seed"].value).toEqual(1);
expect(group.widgets["control_after_generate"].value).toEqual("increment");
expect(group.widgets["steps"].value).toEqual(8);
expect(group.widgets["cfg"].value).toEqual(4.5);
expect(group.widgets["sampler_name"].value).toEqual("uni_pc");
expect(group.widgets["scheduler"].value).toEqual("karras");
expect(group.widgets["denoise"].value).toEqual(0.9);
expect((await graph.toPrompt()).output).toEqual(
getOutput([nodes.ckpt.id, nodes.pos.id, nodes.neg.id, nodes.empty.id, nodes.sampler.id], {
[nodes.ckpt.id]: { ckpt_name: "model2.ckpt" },
[nodes.pos.id]: { text: "hello" },
[nodes.neg.id]: { text: "world" },
[nodes.empty.id]: { width: 256, height: 1024 },
[nodes.sampler.id]: {
seed: 1,
steps: 8,
cfg: 4.5,
sampler_name: "uni_pc",
scheduler: "karras",
denoise: 0.9,
},
})
);
});
test("group inputs can be reroutes", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const group = await convertToGroup(app, graph, "test", [nodes.pos, nodes.neg]);
const reroute = ez.Reroute();
nodes.ckpt.outputs.CLIP.connectTo(reroute.inputs[0]);
reroute.outputs[0].connectTo(group.inputs[0]);
reroute.outputs[0].connectTo(group.inputs[1]);
expect((await graph.toPrompt()).output).toEqual(getOutput([nodes.pos.id, nodes.neg.id]));
});
test("group outputs can be reroutes", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const group = await convertToGroup(app, graph, "test", [nodes.pos, nodes.neg]);
const reroute1 = ez.Reroute();
const reroute2 = ez.Reroute();
group.outputs[0].connectTo(reroute1.inputs[0]);
group.outputs[1].connectTo(reroute2.inputs[0]);
reroute1.outputs[0].connectTo(nodes.sampler.inputs.positive);
reroute2.outputs[0].connectTo(nodes.sampler.inputs.negative);
expect((await graph.toPrompt()).output).toEqual(getOutput([nodes.pos.id, nodes.neg.id]));
});
test("groups can connect to each other", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const group1 = await convertToGroup(app, graph, "test", [nodes.pos, nodes.neg]);
const group2 = await convertToGroup(app, graph, "test2", [nodes.empty, nodes.sampler]);
group1.outputs[0].connectTo(group2.inputs["positive"]);
group1.outputs[1].connectTo(group2.inputs["negative"]);
expect((await graph.toPrompt()).output).toEqual(
getOutput([nodes.pos.id, nodes.neg.id, nodes.empty.id, nodes.sampler.id])
);
});
test("groups can connect to each other via internal reroutes", async () => {
const { ez, graph, app } = await start();
const latent = ez.EmptyLatentImage();
const vae = ez.VAELoader();
const latentReroute = ez.Reroute();
const vaeReroute = ez.Reroute();
latent.outputs[0].connectTo(latentReroute.inputs[0]);
vae.outputs[0].connectTo(vaeReroute.inputs[0]);
const group1 = await convertToGroup(app, graph, "test", [latentReroute, vaeReroute]);
group1.menu.Clone.call();
expect(app.graph._nodes).toHaveLength(4);
const group2 = graph.find(app.graph._nodes[3]);
expect(group2.node.type).toEqual("workflow/test");
expect(group2.id).not.toEqual(group1.id);
group1.outputs.VAE.connectTo(group2.inputs.VAE);
group1.outputs.LATENT.connectTo(group2.inputs.LATENT);
const decode = ez.VAEDecode(group2.outputs.LATENT, group2.outputs.VAE);
ez.PreviewImage(decode.outputs[0]);
expect((await graph.toPrompt()).output).toEqual({});
});
test("displays generated image on group node", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
let group = await convertToGroup(app, graph, "test", [
nodes.pos,
nodes.neg,
nodes.empty,
nodes.sampler,
nodes.decode,
nodes.save,
]);
const { api } = require("../../web/scripts/api");
api.dispatchEvent(new CustomEvent("execution_start", {}));
api.dispatchEvent(new CustomEvent("executing", { detail: `${nodes.save.id}` }));
// Event should be forwarded to group node id
expect(+app.runningNodeId).toEqual(group.id);
expect(group.node["imgs"]).toBeFalsy();
api.dispatchEvent(
new CustomEvent("executed", {
detail: {
node: `${nodes.save.id}`,
output: {
images: [
{
filename: "test.png",
type: "output",
},
],
},
},
})
);
// Trigger paint
group.node.onDrawBackground?.(app.canvas.ctx, app.canvas.canvas);
expect(group.node["images"]).toEqual([
{
filename: "test.png",
type: "output",
},
]);
// Reload
const workflow = JSON.stringify((await graph.toPrompt()).workflow);
await app.loadGraphData(JSON.parse(workflow));
group = graph.find(group);
// Trigger inner nodes to get created
group.node["getInnerNodes"]();
// Check it works for internal node ids
api.dispatchEvent(new CustomEvent("execution_start", {}));
api.dispatchEvent(new CustomEvent("executing", { detail: `${group.id}:5` }));
// Event should be forwarded to group node id
expect(+app.runningNodeId).toEqual(group.id);
expect(group.node["imgs"]).toBeFalsy();
api.dispatchEvent(
new CustomEvent("executed", {
detail: {
node: `${group.id}:5`,
output: {
images: [
{
filename: "test2.png",
type: "output",
},
],
},
},
})
);
// Trigger paint
group.node.onDrawBackground?.(app.canvas.ctx, app.canvas.canvas);
expect(group.node["images"]).toEqual([
{
filename: "test2.png",
type: "output",
},
]);
});
test("allows widgets to be converted to inputs", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const group = await convertToGroup(app, graph, "test", [nodes.pos, nodes.neg]);
group.widgets[0].convertToInput();
const primitive = ez.PrimitiveNode();
primitive.outputs[0].connectTo(group.inputs["text"]);
primitive.widgets[0].value = "hello";
expect((await graph.toPrompt()).output).toEqual(
getOutput([nodes.pos.id, nodes.neg.id], {
[nodes.pos.id]: { text: "hello" },
})
);
});
test("can be copied", async () => {
const { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
const group1 = await convertToGroup(app, graph, "test", [
nodes.pos,
nodes.neg,
nodes.empty,
nodes.sampler,
nodes.decode,
nodes.save,
]);
group1.widgets["text"].value = "hello";
group1.widgets["width"].value = 256;
group1.widgets["seed"].value = 1;
// Clone the node
group1.menu.Clone.call();
expect(app.graph._nodes).toHaveLength(3);
const group2 = graph.find(app.graph._nodes[2]);
expect(group2.node.type).toEqual("workflow/test");
expect(group2.id).not.toEqual(group1.id);
// Reconnect ckpt
nodes.ckpt.outputs.MODEL.connectTo(group2.inputs["model"]);
nodes.ckpt.outputs.CLIP.connectTo(group2.inputs["clip"]);
nodes.ckpt.outputs.CLIP.connectTo(group2.inputs["CLIPTextEncode clip"]);
nodes.ckpt.outputs.VAE.connectTo(group2.inputs["vae"]);
group2.widgets["text"].value = "world";
group2.widgets["width"].value = 1024;
group2.widgets["seed"].value = 100;
let i = 0;
expect((await graph.toPrompt()).output).toEqual({
...getOutput([nodes.empty.id, nodes.pos.id, nodes.neg.id, nodes.sampler.id, nodes.decode.id, nodes.save.id], {
[nodes.empty.id]: { width: 256 },
[nodes.pos.id]: { text: "hello" },
[nodes.sampler.id]: { seed: 1 },
}),
...getOutput(
{
[nodes.empty.id]: `${group2.id}:${i++}`,
[nodes.pos.id]: `${group2.id}:${i++}`,
[nodes.neg.id]: `${group2.id}:${i++}`,
[nodes.sampler.id]: `${group2.id}:${i++}`,
[nodes.decode.id]: `${group2.id}:${i++}`,
[nodes.save.id]: `${group2.id}:${i++}`,
},
{
[nodes.empty.id]: { width: 1024 },
[nodes.pos.id]: { text: "world" },
[nodes.sampler.id]: { seed: 100 },
}
),
});
graph.arrange();
});
test("is embedded in workflow", async () => {
let { ez, graph, app } = await start();
const nodes = createDefaultWorkflow(ez, graph);
let group = await convertToGroup(app, graph, "test", [nodes.pos, nodes.neg]);
const workflow = JSON.stringify((await graph.toPrompt()).workflow);
// Clear the environment
({ ez, graph, app } = await start({
resetEnv: true,
}));
// Ensure the node isnt registered
expect(() => ez["workflow/test"]).toThrow();
// Reload the workflow
await app.loadGraphData(JSON.parse(workflow));
// Ensure the node is found
group = graph.find(group);
// Generate prompt and ensure it is as expected
expect((await graph.toPrompt()).output).toEqual(
getOutput({
[nodes.pos.id]: `${group.id}:0`,
[nodes.neg.id]: `${group.id}:1`,
})
);
});
test("shows missing node error on missing internal node when loading graph data", async () => {
const { graph } = await start();
const dialogShow = jest.spyOn(graph.app.ui.dialog, "show");
await graph.app.loadGraphData({
last_node_id: 3,
last_link_id: 1,
nodes: [
{
id: 3,
type: "workflow/testerror",
},
],
links: [],
groups: [],
config: {},
extra: {
groupNodes: {
testerror: {
nodes: [
{
type: "NotKSampler",
},
{
type: "NotVAEDecode",
},
],
},
},
},
});
expect(dialogShow).toBeCalledTimes(1);
const call = dialogShow.mock.calls[0][0].innerHTML;
expect(call).toContain("the following node types were not found");
expect(call).toContain("NotKSampler");
expect(call).toContain("NotVAEDecode");
expect(call).toContain("workflow/testerror");
});
test("maintains widget inputs on conversion back to nodes", async () => {
const { ez, graph, app } = await start();
let pos = ez.CLIPTextEncode({ text: "positive" });
pos.node.title = "Positive";
let neg = ez.CLIPTextEncode({ text: "negative" });
neg.node.title = "Negative";
pos.widgets.text.convertToInput();
neg.widgets.text.convertToInput();
let primitive = ez.PrimitiveNode();
primitive.outputs[0].connectTo(pos.inputs.text);
primitive.outputs[0].connectTo(neg.inputs.text);
const group = await convertToGroup(app, graph, "test", [pos, neg, primitive]);
// This will use a primitive widget named 'value'
expect(group.widgets.length).toBe(1);
expect(group.widgets["value"].value).toBe("positive");
const newNodes = group.menu["Convert to nodes"].call();
pos = graph.find(newNodes.find((n) => n.title === "Positive"));
neg = graph.find(newNodes.find((n) => n.title === "Negative"));
primitive = graph.find(newNodes.find((n) => n.type === "PrimitiveNode"));
expect(pos.inputs).toHaveLength(2);
expect(neg.inputs).toHaveLength(2);
expect(primitive.outputs[0].connections).toHaveLength(2);
expect((await graph.toPrompt()).output).toEqual({
1: { inputs: { text: "positive" }, class_type: "CLIPTextEncode" },
2: { inputs: { text: "positive" }, class_type: "CLIPTextEncode" },
});
});
test("adds widgets in node execution order", async () => {
const { ez, graph, app } = await start();
const scale = ez.LatentUpscale();
const save = ez.SaveImage();
const empty = ez.EmptyLatentImage();
const decode = ez.VAEDecode();
scale.outputs.LATENT.connectTo(decode.inputs.samples);
decode.outputs.IMAGE.connectTo(save.inputs.images);
empty.outputs.LATENT.connectTo(scale.inputs.samples);
const group = await convertToGroup(app, graph, "test", [scale, save, empty, decode]);
const widgets = group.widgets.map((w) => w.widget.name);
expect(widgets).toStrictEqual([
"width",
"height",
"batch_size",
"upscale_method",
"LatentUpscale width",
"LatentUpscale height",
"crop",
"filename_prefix",
]);
});
test("adds output for external links when converting to group", async () => {
const { ez, graph, app } = await start();
const img = ez.EmptyLatentImage();
let decode = ez.VAEDecode(...img.outputs);
const preview1 = ez.PreviewImage(...decode.outputs);
const preview2 = ez.PreviewImage(...decode.outputs);
const group = await convertToGroup(app, graph, "test", [img, decode, preview1]);
// Ensure we have an output connected to the 2nd preview node
expect(group.outputs.length).toBe(1);
expect(group.outputs[0].connections.length).toBe(1);
expect(group.outputs[0].connections[0].targetNode.id).toBe(preview2.id);
// Convert back and ensure bothe previews are still connected
group.menu["Convert to nodes"].call();
decode = graph.find(decode);
expect(decode.outputs[0].connections.length).toBe(2);
expect(decode.outputs[0].connections[0].targetNode.id).toBe(preview1.id);
expect(decode.outputs[0].connections[1].targetNode.id).toBe(preview2.id);
});
test("adds output for external links when converting to group when nodes are not in execution order", async () => {
const { ez, graph, app } = await start();
const sampler = ez.KSampler();
const ckpt = ez.CheckpointLoaderSimple();
const empty = ez.EmptyLatentImage();
const pos = ez.CLIPTextEncode(ckpt.outputs.CLIP, { text: "positive" });
const neg = ez.CLIPTextEncode(ckpt.outputs.CLIP, { text: "negative" });
const decode1 = ez.VAEDecode(sampler.outputs.LATENT, ckpt.outputs.VAE);
const save = ez.SaveImage(decode1.outputs.IMAGE);
ckpt.outputs.MODEL.connectTo(sampler.inputs.model);
pos.outputs.CONDITIONING.connectTo(sampler.inputs.positive);
neg.outputs.CONDITIONING.connectTo(sampler.inputs.negative);
empty.outputs.LATENT.connectTo(sampler.inputs.latent_image);
const encode = ez.VAEEncode(decode1.outputs.IMAGE);
const vae = ez.VAELoader();
const decode2 = ez.VAEDecode(encode.outputs.LATENT, vae.outputs.VAE);
const preview = ez.PreviewImage(decode2.outputs.IMAGE);
vae.outputs.VAE.connectTo(encode.inputs.vae);
const group = await convertToGroup(app, graph, "test", [vae, decode1, encode, sampler]);
expect(group.outputs.length).toBe(3);
expect(group.outputs[0].output.name).toBe("VAE");
expect(group.outputs[0].output.type).toBe("VAE");
expect(group.outputs[1].output.name).toBe("IMAGE");
expect(group.outputs[1].output.type).toBe("IMAGE");
expect(group.outputs[2].output.name).toBe("LATENT");
expect(group.outputs[2].output.type).toBe("LATENT");
expect(group.outputs[0].connections.length).toBe(1);
expect(group.outputs[0].connections[0].targetNode.id).toBe(decode2.id);
expect(group.outputs[0].connections[0].targetInput.index).toBe(1);
expect(group.outputs[1].connections.length).toBe(1);
expect(group.outputs[1].connections[0].targetNode.id).toBe(save.id);
expect(group.outputs[1].connections[0].targetInput.index).toBe(0);
expect(group.outputs[2].connections.length).toBe(1);
expect(group.outputs[2].connections[0].targetNode.id).toBe(decode2.id);
expect(group.outputs[2].connections[0].targetInput.index).toBe(0);
expect((await graph.toPrompt()).output).toEqual({
...getOutput({ 1: ckpt.id, 2: pos.id, 3: neg.id, 4: empty.id, 5: sampler.id, 6: decode1.id, 7: save.id }),
[vae.id]: { inputs: { vae_name: "vae1.safetensors" }, class_type: vae.node.type },
[encode.id]: { inputs: { pixels: ["6", 0], vae: [vae.id + "", 0] }, class_type: encode.node.type },
[decode2.id]: { inputs: { samples: [encode.id + "", 0], vae: [vae.id + "", 0] }, class_type: decode2.node.type },
[preview.id]: { inputs: { images: [decode2.id + "", 0] }, class_type: preview.node.type },
});
});
test("works with IMAGEUPLOAD widget", async () => {
const { ez, graph, app } = await start();
const img = ez.LoadImage();
const preview1 = ez.PreviewImage(img.outputs[0]);
const group = await convertToGroup(app, graph, "test", [img, preview1]);
const widget = group.widgets["upload"];
expect(widget).toBeTruthy();
expect(widget.widget.type).toBe("button");
});
test("internal primitive populates widgets for all linked inputs", async () => {
const { ez, graph, app } = await start();
const img = ez.LoadImage();
const scale1 = ez.ImageScale(img.outputs[0]);
const scale2 = ez.ImageScale(img.outputs[0]);
ez.PreviewImage(scale1.outputs[0]);
ez.PreviewImage(scale2.outputs[0]);
scale1.widgets.width.convertToInput();
scale2.widgets.height.convertToInput();
const primitive = ez.PrimitiveNode();
primitive.outputs[0].connectTo(scale1.inputs.width);
primitive.outputs[0].connectTo(scale2.inputs.height);
const group = await convertToGroup(app, graph, "test", [img, primitive, scale1, scale2]);
group.widgets.value.value = 100;
expect((await graph.toPrompt()).output).toEqual({
1: {
inputs: { image: img.widgets.image.value, upload: "image" },
class_type: "LoadImage",
},
2: {
inputs: { upscale_method: "nearest-exact", width: 100, height: 512, crop: "disabled", image: ["1", 0] },
class_type: "ImageScale",
},
3: {
inputs: { upscale_method: "nearest-exact", width: 512, height: 100, crop: "disabled", image: ["1", 0] },
class_type: "ImageScale",
},
4: { inputs: { images: ["2", 0] }, class_type: "PreviewImage" },
5: { inputs: { images: ["3", 0] }, class_type: "PreviewImage" },
});
});
test("primitive control widgets values are copied on convert", async () => {
const { ez, graph, app } = await start();
const sampler = ez.KSampler();
sampler.widgets.seed.convertToInput();
sampler.widgets.sampler_name.convertToInput();
let p1 = ez.PrimitiveNode();
let p2 = ez.PrimitiveNode();
p1.outputs[0].connectTo(sampler.inputs.seed);
p2.outputs[0].connectTo(sampler.inputs.sampler_name);
p1.widgets.control_after_generate.value = "increment";
p2.widgets.control_after_generate.value = "decrement";
p2.widgets.control_filter_list.value = "/.*/";
p2.node.title = "p2";
const group = await convertToGroup(app, graph, "test", [sampler, p1, p2]);
expect(group.widgets.control_after_generate.value).toBe("increment");
expect(group.widgets["p2 control_after_generate"].value).toBe("decrement");
expect(group.widgets["p2 control_filter_list"].value).toBe("/.*/");
group.widgets.control_after_generate.value = "fixed";
group.widgets["p2 control_after_generate"].value = "randomize";
group.widgets["p2 control_filter_list"].value = "/.+/";
group.menu["Convert to nodes"].call();
p1 = graph.find(p1);
p2 = graph.find(p2);
expect(p1.widgets.control_after_generate.value).toBe("fixed");
expect(p2.widgets.control_after_generate.value).toBe("randomize");
expect(p2.widgets.control_filter_list.value).toBe("/.+/");
});
});