Instructions to use smoothieAI/smoothie_realistic_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smoothieAI/smoothie_realistic_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smoothieAI/smoothie_realistic_v1", 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
- Xet hash:
- d71865dbc8bbb8e8724f404754c37d9d787c4e26bd159a8179bcb83ec52009ad
- Size of remote file:
- 167 MB
- SHA256:
- 01032b9549f3d878eaff97bb0bb8475cf606e5d05507c5d2b0ba74037f90a3e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.