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1 | 1 | {
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2 | 2 | "name": "FLUX Text to Image",
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3 | 3 | "author": "InvokeAI",
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4 |
| - "description": "A simple text-to-image workflow using FLUX dev or schnell models. Prerequisite model downloads: T5 Encoder, CLIP-L Encoder, and FLUX VAE. Quantized and un-quantized versions can be found in the starter models tab within your Model Manager.", |
| 4 | + "description": "A simple text-to-image workflow using FLUX dev or schnell models. Prerequisite model downloads: T5 Encoder, CLIP-L Encoder, and FLUX VAE. Quantized and un-quantized versions can be found in the starter models tab within your Model Manager. We recommend 4 steps for FLUX schnell models and 30 steps for FLUX dev models.", |
5 | 5 | "version": "1.0.0",
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6 | 6 | "contact": "",
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7 | 7 | "tags": "text2image, flux",
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8 |
| - "notes": "", |
| 8 | + "notes": "Prerequisite model downloads: T5 Encoder, CLIP-L Encoder, and FLUX VAE. Quantized and un-quantized versions can be found in the starter models tab within your Model Manager. We recommend 4 steps for FLUX schnell models and 30 steps for FLUX dev models.", |
9 | 9 | "exposedFields": [
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10 | 10 | {
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11 | 11 | "nodeId": "4f0207c2-ff40-41fd-b047-ad33fbb1c33a",
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12 | 12 | "fieldName": "model"
|
13 | 13 | },
|
14 |
| - { |
15 |
| - "nodeId": "4f0207c2-ff40-41fd-b047-ad33fbb1c33a", |
16 |
| - "fieldName": "t5_encoder" |
17 |
| - }, |
18 | 14 | {
|
19 | 15 | "nodeId": "01f674f8-b3d1-4df1-acac-6cb8e0bfb63c",
|
20 | 16 | "fieldName": "prompt"
|
| 17 | + }, |
| 18 | + { |
| 19 | + "nodeId": "159bdf1b-79e7-4174-b86e-d40e646964c8", |
| 20 | + "fieldName": "num_steps" |
| 21 | + }, |
| 22 | + { |
| 23 | + "nodeId": "4f0207c2-ff40-41fd-b047-ad33fbb1c33a", |
| 24 | + "fieldName": "t5_encoder" |
21 | 25 | }
|
22 | 26 | ],
|
23 | 27 | "meta": {
|
|
40 | 44 | "inputs": {
|
41 | 45 | "model": {
|
42 | 46 | "name": "model",
|
43 |
| - "label": "", |
| 47 | + "label": "Model (Starter Models can be found in Model Manager)", |
44 | 48 | "value": {
|
45 | 49 | "key": "f04a7a2f-c74d-4538-8d5e-879a53501662",
|
46 | 50 | "hash": "random:4875da7a9508444ffa706f61961c260d0c6729f6181a86b31fad06df1277b850",
|
|
51 | 55 | },
|
52 | 56 | "t5_encoder": {
|
53 | 57 | "name": "t5_encoder",
|
54 |
| - "label": "", |
| 58 | + "label": "T 5 Encoder (Starter Models can be found in Model Manager)", |
55 | 59 | "value": {
|
56 | 60 | "key": "20dcd9ec-5fbb-4012-8401-049e707da5e5",
|
57 | 61 | "hash": "random:f986be43ff3502169e4adbdcee158afb0e0a65a1edc4cab16ae59963630cfd8f",
|
|
96 | 100 | "prompt": {
|
97 | 101 | "name": "prompt",
|
98 | 102 | "label": "",
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99 |
| - "value": "" |
| 103 | + "value": "a cat" |
100 | 104 | }
|
101 | 105 | }
|
102 | 106 | },
|
|
180 | 184 | },
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181 | 185 | "num_steps": {
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182 | 186 | "name": "num_steps",
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183 |
| - "label": "", |
184 |
| - "value": 4 |
| 187 | + "label": "Steps (Recommend 30 for Dev, 4 for Schnell)", |
| 188 | + "value": 30 |
185 | 189 | },
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186 | 190 | "guidance": {
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187 | 191 | "name": "guidance",
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