Instructions to use OzzyGT/ideogram4_caption_blocks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/ideogram4_caption_blocks with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/ideogram4_caption_blocks", torch_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
File size: 779 Bytes
bdc1856 | 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 | {
"_blocks_class_name": "Ideogram4CaptionBlocks",
"_class_name": "ModularPipeline",
"_diffusers_version": "0.39.0.dev0",
"caption_model": [
"transformers",
"Gemma4ForConditionalGeneration",
{
"pretrained_model_name_or_path": "google/gemma-4-E4B-it",
"revision": null,
"subfolder": "",
"type_hint": [
"transformers",
"Gemma4ForConditionalGeneration"
],
"variant": null
}
],
"caption_processor": [
"transformers",
"AutoProcessor",
{
"pretrained_model_name_or_path": "google/gemma-4-E4B-it",
"revision": null,
"subfolder": "",
"type_hint": [
"transformers",
"AutoProcessor"
],
"variant": null
}
]
}
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