Instructions to use softwareweaver/dreamshaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/dreamshaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("softwareweaver/dreamshaper", torch_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:
- 070c9f7a25dda7ffe3f5b7bdfe9d9aae8f51418e8d5b4036fe1ae6b6e2f94cfd
- Size of remote file:
- 68.4 MB
- SHA256:
- ad3f9241119c9fb982707cb2fb128641b7d53199411c8f9f46458e1f7f22f5ff
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