Instructions to use miliyas/practise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use miliyas/practise with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("miliyas/practise", 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
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Download README.md from miliyas/practise: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
-
https://huggingface.co/miliyas/practise/resolve/main/README.md
- Command line
-
hf download hf://miliyas/practise/README.md
-
curl -L -o README.md https://huggingface.co/miliyas/practise/resolve/main/README.md
169 Bytes
metadata
license: apache-2.0
datasets:
- OpenAssistant/oasst2
language:
- en
metrics:
- accuracy
library_name: diffusers
pipeline_tag: text-to-image
tags:
- music
- legal