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", 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:
- b3f76ec33a14f615da0e1c0e83e2a5965bbb61d8b157653cfe347104fb583c0d
- Size of remote file:
- 1.75 GB
- SHA256:
- 18f22311313dd976a099a782c910b6b961cc582fb90a6e6f3d18c11480c228c5
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