Instructions to use Infini-Srr/Ideogram-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Infini-Srr/Ideogram-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Infini-Srr/Ideogram-4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 11,177 Bytes
8ebf922 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 | """Verify Ideogram 4 JSON caption format."""
import json
import re
from pathlib import Path
from typing import Sequence
PathLike = str | Path
NON_ASCII_UNICODE_ESCAPE_RE = re.compile(
r"\\u(?:00[89a-fA-F][0-9a-fA-F]|0[1-9a-fA-F][0-9a-fA-F]{2}|[1-9a-fA-F][0-9a-fA-F]{3})"
)
class CaptionVerifier:
"""Verify Ideogram 4 JSON caption format.
All ``verify_*`` methods return a list of warning strings (empty means
the input passed all checks).
"""
top_level_known_keys: frozenset[str] = frozenset(
{
"high_level_description",
"style_description",
"compositional_deconstruction",
}
)
style_description_key_order_photo: Sequence[str] = (
"aesthetics",
"lighting",
"photo",
"medium",
"color_palette",
)
style_description_key_order_non_photo: Sequence[str] = (
"aesthetics",
"lighting",
"medium",
"art_style",
"color_palette",
)
compositional_deconstruction_key_order: Sequence[str] = (
"background",
"elements",
)
element_key_order_obj: Sequence[str] = ("type", "bbox", "desc", "color_palette")
element_key_order_text: Sequence[str] = (
"type",
"bbox",
"text",
"desc",
"color_palette",
)
style_description_known_keys: frozenset[str] = frozenset(
{
"aesthetics",
"lighting",
"photo",
"art_style",
"medium",
"color_palette",
}
)
element_known_keys: frozenset[str] = frozenset(
{
"type",
"bbox",
"text",
"desc",
"color_palette",
}
)
element_types: frozenset[str] = frozenset({"obj", "text"})
bbox_min: int = 0
bbox_max: int = 1000
style_description_palette_max: int = 16
element_palette_max: int = 5
def verify(self, caption: dict) -> list[str]:
"""Verify a parsed caption dict. Returns a list of warnings."""
warnings: list[str] = []
if not isinstance(caption, dict):
warnings.append(
f"root: expected a JSON object (dict), got {type(caption).__name__}"
)
return warnings
self._check_unknown_keys(caption, self.top_level_known_keys, "root", warnings)
if "high_level_description" in caption:
self._verify_high_level_description(caption["high_level_description"], warnings)
if "style_description" in caption:
self._verify_style_description(caption["style_description"], warnings)
if "compositional_deconstruction" in caption:
self._verify_compositional_deconstruction(
caption["compositional_deconstruction"], warnings
)
else:
warnings.append("root: 'compositional_deconstruction' must exist")
return warnings
def verify_raw(self, raw_text: str) -> list[str]:
"""Verify a raw JSON string. Includes ensure_ascii=False check."""
warnings = self.check_ensure_ascii_false(raw_text)
try:
caption = json.loads(raw_text)
except json.JSONDecodeError as e:
warnings.append(f"invalid JSON: {e}")
return warnings
return warnings + self.verify(caption)
def verify_file(self, path: PathLike) -> list[str]:
"""Verify a JSON file on disk."""
raw = Path(path).read_text(encoding="utf-8")
return self.verify_raw(raw)
# Warn if raw text contains \uXXXX escapes for non-ASCII chars but no literal non-ASCII;
# typically means the writer used ensure_ascii=True. Suppressed when both forms coexist
# (escapes are then assumed intentional).
@classmethod
def check_ensure_ascii_false(cls, raw_text: str, max_examples: int = 3) -> list[str]:
warnings: list[str] = []
matches = NON_ASCII_UNICODE_ESCAPE_RE.findall(raw_text)
if not matches:
return warnings
has_literal_non_ascii = any(ord(c) > 0x7F for c in raw_text)
if has_literal_non_ascii:
return warnings
examples = ", ".join(sorted(set(matches))[:max_examples])
extra = "" if len(set(matches)) <= max_examples else ", ..."
warnings.append(
f"raw text: found {len(matches)} non-ASCII unicode escape(s) "
f"(e.g. {examples}{extra}) and no literal non-ASCII characters. "
f"This usually means the file was saved with ensure_ascii=True; "
f"please re-save with json.dump(..., ensure_ascii=False) so non-ASCII "
f"characters are stored as literal UTF-8. "
f"Note: this is a warning, not an error, because the escapes could "
f"have been written intentionally — we cannot tell from the file alone."
)
return warnings
def _verify_high_level_description(self, hld, warnings: list[str]) -> None:
if not isinstance(hld, str):
warnings.append(
f"high_level_description: expected a string, got {type(hld).__name__}"
)
def _verify_style_description(self, sd, warnings: list[str]) -> None:
if not isinstance(sd, dict):
warnings.append("style_description: expected a dict")
return
self._check_unknown_keys(
sd, self.style_description_known_keys, "style_description", warnings
)
has_photo = "photo" in sd
has_art_style = "art_style" in sd
if has_photo and has_art_style:
warnings.append(
"style_description: contains both 'photo' and 'art_style'; expected exactly one"
)
return
elif not has_photo and not has_art_style:
warnings.append(
"style_description: expected one of 'photo' (for photo captions) "
"or 'art_style' (for non-photo captions)"
)
return
self._check_key_order(
sd,
self._style_description_key_order(sd),
"style_description",
warnings,
)
if "color_palette" in sd:
self._verify_color_palette(
sd["color_palette"],
"style_description.color_palette",
self.style_description_palette_max,
warnings,
)
def _verify_compositional_deconstruction(self, cd, warnings: list[str]) -> None:
if not isinstance(cd, dict):
warnings.append("compositional_deconstruction: expected a dict")
return
if "background" not in cd:
warnings.append("compositional_deconstruction: 'background' must exist")
return
elif not isinstance(cd["background"], str):
warnings.append(
f"compositional_deconstruction.background: expected a string, "
f"got {type(cd['background']).__name__}"
)
return
if "elements" not in cd:
warnings.append("compositional_deconstruction: 'elements' must exist")
return
self._check_key_order(
cd,
self.compositional_deconstruction_key_order,
"compositional_deconstruction",
warnings,
)
elements = cd["elements"]
if not isinstance(elements, list):
warnings.append("compositional_deconstruction.elements: expected a list")
return
for i, elem in enumerate(elements):
self._verify_element(i, elem, warnings)
def _verify_element(self, i: int, elem, warnings: list[str]) -> None:
if not isinstance(elem, dict):
warnings.append(f"elements[{i}]: expected a dict")
return
self._check_unknown_keys(elem, self.element_known_keys, f"elements[{i}]", warnings)
if "type" not in elem:
warnings.append(f"elements[{i}]: 'type' must exist")
return
elif elem.get("type", None) not in self.element_types:
warnings.append(f"elements[{i}]: 'type' must be one of {self.element_types}")
return
self._check_key_order(
elem, self._element_key_order(elem), f"elements[{i}]", warnings
)
if "bbox" in elem:
self._verify_bbox(i, elem["bbox"], warnings)
if "color_palette" in elem:
self._verify_color_palette(
elem["color_palette"],
f"elements[{i}].color_palette",
self.element_palette_max,
warnings,
)
def _verify_color_palette(
self, palette, path: str, max_colors: int, warnings: list[str]
) -> None:
if not isinstance(palette, list):
warnings.append(f"{path}: expected a list")
return
if len(palette) > max_colors:
warnings.append(
f"{path}: too many colors ({len(palette)}), expected at most {max_colors}"
)
return
for i, color in enumerate(palette):
if (
not isinstance(color, str)
or len(color) != 7
or color[0] != "#"
or not all(c in "0123456789ABCDEF" for c in color[1:])
):
warnings.append(f"{path}[{i}]: '{color}' is not a valid #RRGGBB hex color")
def _verify_bbox(self, i: int, bbox, warnings: list[str]) -> None:
if not isinstance(bbox, list) or len(bbox) != 4:
warnings.append(f"elements[{i}].bbox: expected [ymin, xmin, ymax, xmax]")
return
if not all(isinstance(v, int) for v in bbox):
warnings.append(f"elements[{i}].bbox: all values must be int")
return
ymin, xmin, ymax, xmax = bbox
if not all(self.bbox_min <= v <= self.bbox_max for v in bbox):
warnings.append(
f"elements[{i}].bbox: values must be in "
f"[{self.bbox_min}, {self.bbox_max}], got {bbox}"
)
if ymin > ymax:
warnings.append(f"elements[{i}].bbox: ymin ({ymin}) > ymax ({ymax})")
if xmin > xmax:
warnings.append(f"elements[{i}].bbox: xmin ({xmin}) > xmax ({xmax})")
def _element_key_order(self, element: dict) -> Sequence[str]:
elem_type = element.get("type", None)
if elem_type == "text":
element_key_order = self.element_key_order_text
elif elem_type == "obj":
element_key_order = self.element_key_order_obj
else:
raise ValueError
element_key_order_ = []
for key in element_key_order:
if key == "bbox":
if "bbox" in element:
element_key_order_.append(key)
elif key == "color_palette":
if "color_palette" in element:
element_key_order_.append(key)
else:
element_key_order_.append(key)
return tuple(element_key_order_)
def _style_description_key_order(self, sd: dict) -> Sequence[str]:
has_photo = "photo" in sd
has_art_style = "art_style" in sd
if has_art_style and not has_photo:
key_order = self.style_description_key_order_non_photo
elif not has_art_style and has_photo:
key_order = self.style_description_key_order_photo
else:
raise ValueError
key_order_ = []
for key in key_order:
if key == "color_palette":
if "color_palette" in sd:
key_order_.append(key)
else:
key_order_.append(key)
return tuple(key_order_)
@staticmethod
def _check_key_order(
obj: dict,
expected_order: Sequence[str],
path: str,
warnings: list[str],
) -> None:
present_keys = tuple([k for k in obj if k in expected_order])
if present_keys != tuple(expected_order):
warnings.append(f"{path}: key order is {present_keys}, expected {expected_order}")
extra = [k for k in obj if k not in expected_order]
if extra:
warnings.append(f"{path}: keys {extra} are not allowed in this context")
@staticmethod
def _check_unknown_keys(
obj: dict,
known: frozenset[str],
path: str,
warnings: list[str],
) -> None:
unknown = [k for k in obj if k not in known]
if unknown:
warnings.append(f"{path}: unknown keys {unknown} (not in schema)")
|