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
the pormpt "Photo of woman lying om grass" gets blocked. i guess easily outperforms Flux2, SD3, Zimage
#5
by shivshankar - opened
just need to structure the prompt. I also had this filter thing pop up a bit.
But after structuring the prompt better (or use LLM for a json prompt), i never see this anymore ;-)
https://huggingface.co/ideogram-ai/ideogram-4-fp8#prompting-guide
https://github.com/ideogram-oss/ideogram4/blob/main/docs/prompting.md
You can try this system prompt with any LLM node in comfy, or using any llm site:
https://pastebin.com/VihLY5Ct
Ideogram truly seems to support and push for gender discrimination with this move.

