Instructions to use Rhow20/VB-sting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rhow20/VB-sting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rhow20/VB-sting", dtype=torch.bfloat16, device_map="cuda") 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
- DiffusionBee
metadata
license: unknown
datasets:
- HuggingFaceFW/fineweb-2
language:
- ab
metrics:
- accuracy
base_model:
- google/gemma-3n-E4B-it
new_version: google/gemma-3n-E4B-it
pipeline_tag: text-to-image
library_name: diffusers