Text-to-Image
Diffusers
Safetensors
Ideogram4Pipeline
image-generation
diffusion
flow-matching
dit
ideogram
Instructions to use ideogram-ai/ideogram-4-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ideogram-ai/ideogram-4-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ideogram-ai/ideogram-4-fp8", 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
112
#11 opened about 3 hours ago
by
minzhi2025
Image Filter Feedback
1
#9 opened 1 day ago
by
Someontwothree
is it really open model
#8 opened 1 day ago
by
ryg81
I think ideogram-ai 4 is 18.6B + 8B mode not 9.3B model.
#7 opened 1 day ago
by
shivshankar
π The best model for consistent text rendering
π₯ 6
1
#6 opened 1 day ago
by
jqw5585
the pormpt "Photo of woman lying om grass" gets blocked. i guess easily outperforms Flux2, SD3, Zimage
ππ 13
7
#5 opened 1 day ago
by
shivshankar
BF16 weights?
π 5
2
#4 opened 1 day ago
by
TheLatentSpacer
the pormpt "a cat" gets blocked
ππ€― 4
22
#3 opened 1 day ago
by
Manni1000
Add diffusers snippet
#2 opened 1 day ago
by
multimodalart