Instructions to use young98/SmartPhotoCrafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use young98/SmartPhotoCrafter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("young98/SmartPhotoCrafter", 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
- Xet hash:
- 41ed60eb5083802dde9610cab910e69049c900304de44a57514a74612604927a
- Size of remote file:
- 754 MB
- SHA256:
- 318083d918ad9adbe3293dce6598723dd948399a5723f6ad3058d49831bb333d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.