Instructions to use quarterturn/id4_nichijou with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quarterturn/id4_nichijou 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("quarterturn/id4_nichijou") 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
- Xet hash:
- e4b972ca2493f174dac8a2817754768fcbf7b834ed3d94ba88665eee36bba423
- Size of remote file:
- 847 MB
- SHA256:
- 2bad5fe49726a300e94dbfaaf2f5e654bfe4715c979e6c6d1d226489f7841e46
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