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:
- d66b1457c00a5e03ff891e38c80c1da584d38b590db7075ff0006aa16715e7a8
- Size of remote file:
- 246 MB
- SHA256:
- e27f55b3fbe7068f5227a9344cc4060f8cb96825652be5da0fd045815dae40ba
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