Instructions to use ShinnosukeU/Dreamshaper_1200_rapper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/Dreamshaper_1200_rapper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShinnosukeU/Dreamshaper_1200_rapper", 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:
- 82c71f5e5ee5e9b7b5e9576945676541850a79342f0adf647db7acb27f6d54d5
- Size of remote file:
- 492 MB
- SHA256:
- 67566f1095b79f1924a46cea332a92c7a3aa02fb979c37f1b6cc7a127ffd3e27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.