Hugging Face's logo

Spaces:
sub314xxl
/
ai-comic-factory
Sleeping

App Files Community
ai-comic-factory
File size: 2,754 Bytes 
624088c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
932a7fd
 
 
 
 
 
 
 
624088c
 
 
 
 
241036e
 
624088c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
241036e
624088c
 
 
 
 
241036e
 
 
 
 
 
 
 
 
2f7798c
c32ec0d
3ca0269
 
 
 
 
 
 
 
 
 
24b3b53
 
b3e635b
 
 
 
 
24b3b53
 
 
 
 
 
 
b3e635b
24b3b53
 
 
 
 
 
 
 
 
 
 
 
 
 
35f8585
 
 
 
 
 
24b3b53
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
 
export type ProjectionMode = 'cartesian' | 'spherical'

export type CacheMode = "use" | "renew" | "ignore"

export interface RenderRequest {
  prompt: string

  // whether to use video segmentation
  // disabled (default)
  // firstframe: we only analyze the first frame
  // allframes: we analyze all the frames
  segmentation: 'disabled' | 'firstframe' | 'allframes'

  // segmentation will only be executed if we have a non-empty list of actionnables
  // actionnables are names of things like "chest", "key", "tree", "chair" etc
  actionnables: string[]

  // note: this is the number of frames for Zeroscope,
  // which is currently configured to only output 3 seconds, so:
  // nbFrames=8 -> 1 sec
  // nbFrames=16 -> 2 sec
  // nbFrames=24 -> 3 sec
  nbFrames: number // min: 1, max: 24

  nbSteps: number // min: 1, max: 50

  seed: number

  width: number // fixed at 1024 for now
  height: number // fixed at 512 for now

  // upscaling factor
  // 0: no upscaling
  // 1: no upscaling
  // 2: 2x larger
  // 3: 3x larger
  // 4x: 4x larger, up to 4096x4096 (warning: a PNG of this size can be 50 Mb!)
  upscalingFactor: number

  projection: ProjectionMode

  cache: CacheMode

  wait: boolean // wait until the job is completed

  analyze: boolean // analyze the image to generate a caption (optional)
}

export interface ImageSegment {
  id: number
  box: number[]
  color: number[]
  label: string
  score: number 
}

export type RenderedSceneStatus =
  | "pending"
  | "completed"
  | "error"

export interface RenderedScene {
  renderId: string
  status: RenderedSceneStatus
  assetUrl: string 
  alt: string
  error: string
  maskUrl: string
  segments: ImageSegment[]
}

export interface ImageAnalysisRequest {
  image: string // in base64
  prompt: string
}

export interface ImageAnalysisResponse {
  result: string
  error?: string
}

export type LLMResponse = Array<{panel: number; instructions: string; caption: string }>

export type LLMEngine =
  | "INFERENCE_API"
  | "INFERENCE_ENDPOINT"
  | "OPENAI"
  | "REPLICATE"

export type RenderingEngine =
  | "VIDEOCHAIN"
  | "OPENAI"
  | "REPLICATE"

export type PostVisibility =
  | "featured" // featured by admins
  | "trending" // top trending / received more than 10 upvotes
  | "normal" // default visibility

export type Post = {
  postId: string
  appId: string
  prompt: string
  previewUrl: string
  assetUrl: string
  createdAt: string
  visibility: PostVisibility
  upvotes: number
  downvotes: number
}

export type CreatePostResponse = {
  success?: boolean
  error?: string
  post: Post
}

export type GetAppPostsResponse = {
  success?: boolean
  error?: string
  posts: Post[]
}

export type GetAppPostResponse = {
  success?: boolean
  error?: string
  post: Post
}