Instructions to use as2216/noti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use as2216/noti with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("as2216/noti", dtype=torch.bfloat16, device_map="cuda") prompt = "Paris is the <mask> of France." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
metadata
license: artistic-2.0
datasets:
- sdsr/erp-and-erotica
language:
- en
metrics:
- Drunper/metrica_tesi
base_model:
- mudler/Qwen3.6-35B-A3B-APEX-GGUF
new_version: Efficient-Large-Model/SANA-WM_bidirectional
pipeline_tag: fill-mask
library_name: diffusers