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", torch_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
YAML
#13
by Michaelangelo - opened
To work with this through the Automatic1111 repo, for example, we just need the checkpoint, correct? There's no necessity to also download the .yaml file as well? Thanks for all your great contributions to the community!!
You do need the .yaml, just place it in the same folder as the checkpoint.
ohhh ok thanks
nitrosocke changed discussion status to closed