Instructions to use MgrEvil/Julia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MgrEvil/Julia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MgrEvil/Julia", 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
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Download README.md from MgrEvil/Julia: direct link, hf CLI and curl.
- Browser
- Download file 215 Bytes
-
https://huggingface.co/MgrEvil/Julia/resolve/main/README.md
- Command line
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hf download hf://MgrEvil/Julia/README.md
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curl -L -o README.md https://huggingface.co/MgrEvil/Julia/resolve/main/README.md
215 Bytes
| license: artistic-2.0 | |
| datasets: | |
| - hackaprompt/Pliny_HackAPrompt_Dataset | |
| metrics: | |
| - brier_score | |
| base_model: | |
| - tencent/Hunyuan-A13B-Instruct | |
| pipeline_tag: feature-extraction | |
| library_name: diffusers | |
| tags: | |
| - art | |