Instructions to use Quiho/Anima_INT4_Quants_INT4_Convrot_MSE_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Quiho/Anima_INT4_Quants_INT4_Convrot_MSE_checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Quiho/Anima_INT4_Quants_INT4_Convrot_MSE_checkpoint", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, anime illustration, 1girl, solo, silver_hair, long_hair, braided_hair, green_eyes, earrings, upper_body, looking_at_viewer. An adult woman in her late twenties stands beside an open balcony door at dusk, wearing a dark blue silk blouse and small gold earrings. Frame her from the chest upward with her face unobstructed. Warm indoor light illuminates her emerald eyes and individual silver hair strands, while cool evening light outlines the braid over her shoulder. The city behind her is softly blurred into blue and amber lights. Elegant expression, luminous eyes, fine facial linework, realistic silk folds, rich warm and cool color contrast, natural adult anatomy, no lettering." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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