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: 462 Bytes
8ebf922 | 1 2 3 4 5 6 7 8 9 10 11 12 | SEQUENCE_PADDING_INDICATOR = -1
OUTPUT_IMAGE_INDICATOR = 2
LLM_TOKEN_INDICATOR = 3
# Image grid coordinates start at this offset so they never collide with text token indices
# (text positions start at 0 and never exceed max_text_tokens, which is well below this).
IMAGE_POSITION_OFFSET = 65536
# Layers of Qwen3-VL whose hidden states are concatenated and fed to the transformer.
QWEN3_VL_ACTIVATION_LAYERS = (0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 35)
|