Instructions to use Scrappy-Doo/Future-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Scrappy-Doo/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("Scrappy-Doo/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
- Xet hash:
- a173b390411642fad0140eb732524a2166205744938912d2d846d51496ba4d67
- Size of remote file:
- 2.58 GB
- SHA256:
- a41d2d0b20d2f8d12ef430eef12c56933c003670eeacba6ddbdc47b427851eee
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