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
Create README.md
Browse files
README.md
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---
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tags:
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- lora
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- diffusers
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- krea2
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- bf16
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base_model: krea/Krea-2-Raw
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license: cc-by-nc-4.0
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---
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A krea2 bf16 style LoRA for making Nichijou images.
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Trained on 217 images, captioned using qwen3.6-35-a3b. All images are cropped so they include only Miku, no other characters.
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Checkpoints to step 10000 are provided.
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