Instructions to use zhyemmmm/DreamSArchive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhyemmmm/DreamSArchive with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhyemmmm/DreamSArchive", 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:
- 04ad461a3c4d05eeaad179ae9ae521198bdf165a3869cb7fe62f572618710cf3
- Size of remote file:
- 492 MB
- SHA256:
- bea33e839f0b2018f709b5f07e6b8cca084c9f0c21d29a2e578864771a7e0ba5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.