Instructions to use Praelatus/Haru579_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Haru579_Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Praelatus/Haru579_Style") prompt = "<lora:Haru579_AnimaV1:1> @hrlrst, A young woman with short brown hair stands holding a can in her right hand, looking slightly away from the viewer with a blushing expression. She wears a dark blue, oversized jacket with multiple straps and buckles across the chest and sleeves. Her cheeks are flushed, and she has a small, white cat-like figure on her left side. Behind her, there's a large red structure with angular shapes and a circular red sign with a horizontal white stripe. The background includes a pale blue rectangle with abstract, wavy lines. A small, round, pink creature with a surprised expression floats near the top right corner. The overall color palette includes shades of blue, red, and pink, with a focus on the character's face and the red structure behind her." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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