Instructions to use Yofardev/kiki_ideogram4_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yofardev/kiki_ideogram4_v2 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") pipe.load_lora_weights("Yofardev/kiki_ideogram4_v2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_03.png from Yofardev/kiki_ideogram4_v2: direct link, hf CLI and curl.
- Browser
- Download file 1.77 MB
-
https://huggingface.co/Yofardev/kiki_ideogram4_v2/resolve/main/sample_03.png
- Command line
-
hf download hf://Yofardev/kiki_ideogram4_v2/sample_03.png
-
curl -L -o sample_03.png https://huggingface.co/Yofardev/kiki_ideogram4_v2/resolve/main/sample_03.png
1.77 MB

- Xet hash:
- dcc61d559cf20bece3d2ca83d162e0e08b0af7ccc4f8bb9fb072d0b3c25065d8
- Size of remote file:
- 1.77 MB
- SHA256:
- 6fc59210dfc0808a87edf1c80d2b92128c36ac99dd131934ad8bd6aa3ddd77ac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.