Instructions to use Guizmus/SD_DreamerCommunities_Collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/SD_DreamerCommunities_Collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Guizmus/SD_DreamerCommunities_Collection", 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
- Xet hash:
- 7d606831b4c12b60d124b0160f89b38cd0219a1b8f2261ea33f297c5de44d6f5
- Size of remote file:
- 2.13 GB
- SHA256:
- 8c3eae484d059fdaefa34bf223d1105fd43c4ab110314e467ee8fa0d2eceebcd
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