Instructions to use Devops-hestabit/Stable_dreamshape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Devops-hestabit/Stable_dreamshape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Devops-hestabit/Stable_dreamshape", 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:
- 3f91c8608722a3d3b59fbaed3a8e7f6c299fa99d749df1a4212165bf094ec3bc
- Size of remote file:
- 335 MB
- SHA256:
- a5734bdcf7a7a269fd10d24d4d2f2e6e635a9e67b9b64b2a18f51c74428f93da
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