Instructions to use chamuditha4/real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chamuditha4/real with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chamuditha4/real", 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:
- 3bb735030bd1cdbb85566126958a50bfa38838ebae3b6f024e3abdad387dbf83
- Size of remote file:
- 246 MB
- SHA256:
- 1bbabe65c93161d89a210c37b67dfc565f24e7bb938fc621f2c15ba6f101aac4
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