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1 | 1 | { |
2 | | - "id": "9e087485-23dc-47fa-997d-f5bfafc0c7cc", |
3 | | - "source": 1, |
4 | | - "name": "@cf/black-forest-labs/flux-1-schnell", |
5 | | - "description": "FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. ", |
6 | | - "task": { |
7 | | - "id": "3d6e1f35-341b-4915-a6c8-9a7142a9033a", |
8 | | - "name": "Text-to-Image", |
9 | | - "description": "Generates images from input text. These models can be used to generate and modify images based on text prompts." |
10 | | - }, |
11 | | - "tags": [], |
12 | | - "properties": [{ "property_id": "beta", "value": "true" }], |
13 | | - "schema": { |
14 | | - "input": { |
15 | | - "type": "object", |
16 | | - "properties": { |
17 | | - "prompt": { |
18 | | - "type": "string", |
19 | | - "minLength": 1, |
20 | | - "description": "A text description of the image you want to generate" |
21 | | - }, |
22 | | - "negative_prompt": { |
23 | | - "type": "string", |
24 | | - "description": "Text describing elements to avoid in the generated image" |
25 | | - }, |
26 | | - "height": { |
27 | | - "type": "integer", |
28 | | - "minimum": 256, |
29 | | - "maximum": 2048, |
30 | | - "description": "The height of the generated image in pixels" |
31 | | - }, |
32 | | - "width": { |
33 | | - "type": "integer", |
34 | | - "minimum": 256, |
35 | | - "maximum": 2048, |
36 | | - "description": "The width of the generated image in pixels" |
37 | | - }, |
38 | | - "image": { |
39 | | - "type": "array", |
40 | | - "description": "For use with img2img tasks. An array of integers that represent the image data constrained to 8-bit unsigned integer values", |
41 | | - "items": { |
42 | | - "type": "number", |
43 | | - "description": "A value between 0 and 255" |
44 | | - } |
45 | | - }, |
46 | | - "image_b64": { |
47 | | - "type": "string", |
48 | | - "description": "For use with img2img tasks. A base64-encoded string of the input image" |
49 | | - }, |
50 | | - "mask": { |
51 | | - "type": "array", |
52 | | - "description": "An array representing An array of integers that represent mask image data for inpainting constrained to 8-bit unsigned integer values", |
53 | | - "items": { |
54 | | - "type": "number", |
55 | | - "description": "A value between 0 and 255" |
56 | | - } |
57 | | - }, |
58 | | - "num_steps": { |
59 | | - "type": "integer", |
60 | | - "default": 20, |
61 | | - "maximum": 20, |
62 | | - "description": "The number of diffusion steps; higher values can improve quality but take longer" |
63 | | - }, |
64 | | - "strength": { |
65 | | - "type": "number", |
66 | | - "default": 1, |
67 | | - "description": "A value between 0 and 1 indicating how strongly to apply the transformation during img2img tasks; lower values make the output closer to the input image" |
68 | | - }, |
69 | | - "guidance": { |
70 | | - "type": "number", |
71 | | - "default": 7.5, |
72 | | - "description": "Controls how closely the generated image should adhere to the prompt; higher values make the image more aligned with the prompt" |
73 | | - }, |
74 | | - "seed": { |
75 | | - "type": "integer", |
76 | | - "description": "Random seed for reproducibility of the image generation" |
77 | | - } |
78 | | - }, |
79 | | - "required": ["prompt"] |
80 | | - }, |
81 | | - "output": { |
82 | | - "type": "object", |
83 | | - "contentType": "application/json", |
84 | | - "properties": { |
85 | | - "image": { |
86 | | - "type": "string", |
87 | | - "description": "The generated image in Base64 format." |
88 | | - } |
89 | | - } |
90 | | - } |
91 | | - } |
| 2 | + "id": "9e087485-23dc-47fa-997d-f5bfafc0c7cc", |
| 3 | + "source": 1, |
| 4 | + "name": "@cf/black-forest-labs/flux-1-schnell", |
| 5 | + "description": "FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. ", |
| 6 | + "task": { |
| 7 | + "id": "3d6e1f35-341b-4915-a6c8-9a7142a9033a", |
| 8 | + "name": "Text-to-Image", |
| 9 | + "description": "Generates images from input text. These models can be used to generate and modify images based on text prompts." |
| 10 | + }, |
| 11 | + "tags": [], |
| 12 | + "properties": [{ "property_id": "beta", "value": "true" }], |
| 13 | + "schema": { |
| 14 | + "input": { |
| 15 | + "type": "object", |
| 16 | + "properties": { |
| 17 | + "prompt": { |
| 18 | + "type": "string", |
| 19 | + "minLength": 1, |
| 20 | + "description": "A text description of the image you want to generate" |
| 21 | + }, |
| 22 | + "num_steps": { |
| 23 | + "type": "integer", |
| 24 | + "default": 4, |
| 25 | + "maximum": 8, |
| 26 | + "description": "The number of diffusion steps; higher values can improve quality but take longer" |
| 27 | + } |
| 28 | + }, |
| 29 | + "required": ["prompt"] |
| 30 | + }, |
| 31 | + "output": { |
| 32 | + "type": "object", |
| 33 | + "contentType": "application/json", |
| 34 | + "properties": { |
| 35 | + "image": { |
| 36 | + "type": "string", |
| 37 | + "description": "The generated image in Base64 format." |
| 38 | + } |
| 39 | + } |
| 40 | + } |
| 41 | + } |
92 | 42 | } |
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