Instructions to use EstiaJY/TESTMODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EstiaJY/TESTMODEL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EstiaJY/TESTMODEL", 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 EstiaJY/TESTMODEL: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
-
https://huggingface.co/EstiaJY/TESTMODEL/resolve/main/README.md
- Command line
-
hf download hf://EstiaJY/TESTMODEL/README.md
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curl -L -o README.md https://huggingface.co/EstiaJY/TESTMODEL/resolve/main/README.md
171 Bytes
metadata
license: bsd
datasets:
- microsoft/orca-math-word-problems-200k
language:
- ko
metrics:
- character
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art