Text-to-Image
Diffusers
English
stable-diffusion
stable-diffusion-diffusers
image-to-image
aiart
anime
Instructions to use TheRafal/everything-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheRafal/everything-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRafal/everything-v2", 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
- Draw Things
- DiffusionBee
Commit History
Update README.md d9fe363
Create negative_prompt.txt 6f56e09
Update README.md 0e838bf
Update README.md a7d51d7
Update README.md fdd042e
First version of the model e7c82d3
Update README.md 93debf4
Update README.md e9bce8d
Update README.md 97e2c95
Update README.md 88bd13c
initial commit 66f54be
Raphael commited on