Instructions to use vic-yes/fast-efmediastyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vic-yes/fast-efmediastyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vic-yes/fast-efmediastyle", 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
fast-efmediastyle Dreambooth model trained by vic-yes with TheLastBen's fast-DreamBooth notebook
It can be used by modifying the instance_prompt: efmedia_style
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
- Downloads last month
- -