Instructions to use PickleYard/Elysian-Fields with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PickleYard/Elysian-Fields with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PickleYard/Elysian-Fields", 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
Model Description
"Elysian Fields" is a model based on the original Dreamshaper model. The primary objective of this model is to generate artificial intelligence (AI)-driven art and animations that mimic the style of traditional paintings. It excels in creating lifelike portraits, intricate backgrounds, and anime-style characters.
Originally designed for creating unique portraits that transcend the boundaries of computer graphics and heavily-filtered photographs, this model has evolved to become an integral part of content creation and independent animation production. Leveraging the power of LoRA networks, it also supports the generation of anime-style images.
This model is hosted on Hugging Face Model Hub, and can be used for a wide range of creative applications, from content creation to animation and beyond.
- Downloads last month
- 31