Instructions to use softwareweaver/dreamlabsoil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/dreamlabsoil 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/dreamlabsoil", 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:
- 65b935fc5c656552e6725a48e711482a87f0006d60d377f3d25843402c383a42
- Size of remote file:
- 68.4 MB
- SHA256:
- e653fae19a1a20c39d1be66f863b93ebd3d7d3b34e49251eb6afed961ac78179
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