-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path1.py
More file actions
278 lines (244 loc) · 9.09 KB
/
Copy path1.py
File metadata and controls
278 lines (244 loc) · 9.09 KB
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
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
from enum import Enum
from typing import Any, Dict, Literal, Optional
from pydantic import SecretStr
from requests.exceptions import RequestException
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
from backend.data.model import (
APIKeyCredentials,
CredentialsField,
CredentialsMetaInput,
SchemaField,
)
from backend.integrations.providers import ProviderName
from backend.util.request import requests
TEST_CREDENTIALS = APIKeyCredentials(
id="01234567-89ab-cdef-0123-456789abcdef",
provider="ideogram",
api_key=SecretStr("mock-ideogram-api-key"),
title="Mock Ideogram API key",
expires_at=None,
)
TEST_CREDENTIALS_INPUT = {
"provider": TEST_CREDENTIALS.provider,
"id": TEST_CREDENTIALS.id,
"type": TEST_CREDENTIALS.type,
"title": TEST_CREDENTIALS.type,
}
class IdeogramModelName(str, Enum):
V2 = "V_2"
V1 = "V_1"
V1_TURBO = "V_1_TURBO"
V2_TURBO = "V_2_TURBO"
class MagicPromptOption(str, Enum):
AUTO = "AUTO"
ON = "ON"
OFF = "OFF"
class StyleType(str, Enum):
AUTO = "AUTO"
GENERAL = "GENERAL"
REALISTIC = "REALISTIC"
DESIGN = "DESIGN"
RENDER_3D = "RENDER_3D"
ANIME = "ANIME"
class ColorPalettePreset(str, Enum):
NONE = "NONE"
EMBER = "EMBER"
FRESH = "FRESH"
JUNGLE = "JUNGLE"
MAGIC = "MAGIC"
MELON = "MELON"
MOSAIC = "MOSAIC"
PASTEL = "PASTEL"
ULTRAMARINE = "ULTRAMARINE"
class AspectRatio(str, Enum):
ASPECT_10_16 = "ASPECT_10_16"
ASPECT_16_10 = "ASPECT_16_10"
ASPECT_9_16 = "ASPECT_9_16"
ASPECT_16_9 = "ASPECT_16_9"
ASPECT_3_2 = "ASPECT_3_2"
ASPECT_2_3 = "ASPECT_2_3"
ASPECT_4_3 = "ASPECT_4_3"
ASPECT_3_4 = "ASPECT_3_4"
ASPECT_1_1 = "ASPECT_1_1"
ASPECT_1_3 = "ASPECT_1_3"
ASPECT_3_1 = "ASPECT_3_1"
class UpscaleOption(str, Enum):
AI_UPSCALE = "AI Upscale"
NO_UPSCALE = "No Upscale"
class IdeogramModelBlock(Block):
class Input(BlockSchema):
credentials: CredentialsMetaInput[
Literal[ProviderName.IDEOGRAM], Literal["api_key"]
] = CredentialsField(
description="The Ideogram integration can be used with any API key with sufficient permissions for the blocks it is used on.",
)
prompt: str = SchemaField(
description="Text prompt for image generation",
placeholder="e.g., 'A futuristic cityscape at sunset'",
title="Prompt",
)
ideogram_model_name: IdeogramModelName = SchemaField(
description="The name of the Image Generation Model, e.g., V_2",
default=IdeogramModelName.V2,
title="Image Generation Model",
advanced=False,
)
aspect_ratio: AspectRatio = SchemaField(
description="Aspect ratio for the generated image",
default=AspectRatio.ASPECT_1_1,
title="Aspect Ratio",
advanced=False,
)
upscale: UpscaleOption = SchemaField(
description="Upscale the generated image",
default=UpscaleOption.NO_UPSCALE,
title="Upscale Image",
advanced=False,
)
magic_prompt_option: MagicPromptOption = SchemaField(
description="Whether to use MagicPrompt for enhancing the request",
default=MagicPromptOption.AUTO,
title="Magic Prompt Option",
advanced=True,
)
seed: Optional[int] = SchemaField(
description="Random seed. Set for reproducible generation",
default=None,
title="Seed",
advanced=True,
)
style_type: StyleType = SchemaField(
description="Style type to apply, applicable for V_2 and above",
default=StyleType.AUTO,
title="Style Type",
advanced=True,
)
negative_prompt: Optional[str] = SchemaField(
description="Description of what to exclude from the image",
default=None,
title="Negative Prompt",
advanced=True,
)
color_palette_name: ColorPalettePreset = SchemaField(
description="Color palette preset name, choose 'None' to skip",
default=ColorPalettePreset.NONE,
title="Color Palette Preset",
advanced=True,
)
class Output(BlockSchema):
result: str = SchemaField(description="Generated image URL")
error: str = SchemaField(description="Error message if the model run failed")
def __init__(self):
super().__init__(
id="6ab085e2-20b3-4055-bc3e-08036e01eca6",
description="This block runs Ideogram models with both simple and advanced settings.",
categories={BlockCategory.AI},
input_schema=IdeogramModelBlock.Input,
output_schema=IdeogramModelBlock.Output,
test_input={
"ideogram_model_name": IdeogramModelName.V2,
"prompt": "A futuristic cityscape at sunset",
"aspect_ratio": AspectRatio.ASPECT_1_1,
"upscale": UpscaleOption.NO_UPSCALE,
"magic_prompt_option": MagicPromptOption.AUTO,
"seed": None,
"style_type": StyleType.AUTO,
"negative_prompt": None,
"color_palette_name": ColorPalettePreset.NONE,
"credentials": TEST_CREDENTIALS_INPUT,
},
test_output=[
(
"result",
"https://ideogram.ai/api/images/test-generated-image-url.png",
),
],
test_mock={
"run_model": lambda api_key, model_name, prompt, seed, aspect_ratio, magic_prompt_option, style_type, negative_prompt, color_palette_name: "https://ideogram.ai/api/images/test-generated-image-url.png",
"upscale_image": lambda api_key, image_url: "https://ideogram.ai/api/images/test-upscaled-image-url.png",
},
test_credentials=TEST_CREDENTIALS,
)
def run(
self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
) -> BlockOutput:
seed = input_data.seed
# Step 1: Generate the image
result = self.run_model(
api_key=credentials.api_key,
model_name=input_data.ideogram_model_name.value,
prompt=input_data.prompt,
seed=seed,
aspect_ratio=input_data.aspect_ratio.value,
magic_prompt_option=input_data.magic_prompt_option.value,
style_type=input_data.style_type.value,
negative_prompt=input_data.negative_prompt,
color_palette_name=input_data.color_palette_name.value,
)
# Step 2: Upscale the image if requested
if input_data.upscale == UpscaleOption.AI_UPSCALE:
result = self.upscale_image(
api_key=credentials.api_key,
image_url=result,
)
yield "result", result
def run_model(
self,
api_key: SecretStr,
model_name: str,
prompt: str,
seed: Optional[int],
aspect_ratio: str,
magic_prompt_option: str,
style_type: str,
negative_prompt: Optional[str],
color_palette_name: str,
):
url = "https://api.ideogram.ai/generate"
headers = {
"Api-Key": api_key.get_secret_value(),
"Content-Type": "application/json",
}
data: Dict[str, Any] = {
"image_request": {
"prompt": prompt,
"model": model_name,
"aspect_ratio": aspect_ratio,
"magic_prompt_option": magic_prompt_option,
"style_type": style_type,
}
}
if seed is not None:
data["image_request"]["seed"] = seed
if negative_prompt:
data["image_request"]["negative_prompt"] = negative_prompt
if color_palette_name != "NONE":
data["image_request"]["color_palette"] = {"name": color_palette_name}
try:
response = requests.post(url, json=data, headers=headers)
return response.json()["data"][0]["url"]
except RequestException as e:
raise Exception(f"Failed to fetch image: {str(e)}")
def upscale_image(self, api_key: SecretStr, image_url: str):
url = "https://api.ideogram.ai/upscale"
headers = {
"Api-Key": api_key.get_secret_value(),
}
try:
# Step 1: Download the image from the provided URL
image_response = requests.get(image_url)
# Step 2: Send the downloaded image to the upscale API
files = {
"image_file": ("image.png", image_response.content, "image/png"),
}
response = requests.post(
url,
headers=headers,
data={
"image_request": "{}", # Empty JSON object
},
files=files,
)
return response.json()["data"][0]["url"]
except RequestException as e:
raise Exception(f"Failed to upscale image: {str(e)}")