Text-to-Image
Diffusers
Safetensors
Ideogram4SDNQPipeline
ideogram
sdnq
uint4
diffusion
typography
8-bit precision
Instructions to use WaveCut/ideogram-4-sdnq-uint4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/ideogram-4-sdnq-uint4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/ideogram-4-sdnq-uint4", 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

- Xet hash:
- a10682eff1d97534e444f2e3c545e6a705a1253fdc4f95899dd7a1c9f8a02ff3
- Size of remote file:
- 5.37 MB
- SHA256:
- 5aff38577ad5794bf1cd553cc821b5aa18a6d403d629fa5239d983181c2a9208
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