Instructions to use Nikkisweety/Generative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nikkisweety/Generative with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nikkisweety/Generative", 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
File size: 193 Bytes
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license: apache-2.0
datasets:
- HuggingFaceFW/fineweb-edu
language:
- af
metrics:
- accuracy
library_name: diffusers
pipeline_tag: text-to-speech
tags:
- legal
- art
- climate
- medical
--- |