Instructions to use nitrosocke/Future-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/Future-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/Future-Diffusion", 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
What is the difference between the two checkpoints? Are both 2.0?
#12
by xfreakazoidx - opened
What is the difference between the two checkpoints? Are both 2.0?
Updated the ckpt#s now, the "Future Diffusion" one was bricked and didn't work like intended. The "future-diffusion-v1" is the updated file and works with automatic.
Thanks as always! You still have the best models!