Instructions to use stablediffusionapi/hello-young-25d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/hello-young-25d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/hello-young-25d", 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:
- 0c457376e57b3137ffb345427b2ed9a902a5f30c92289648bd4aeb5735452490
- Size of remote file:
- 167 MB
- SHA256:
- 4d4edeffe6f22aadb78e5a992d6690c5d3a5e7d4cf58a414c7a6896343c99730
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