Instructions to use zhyemmmm/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhyemmmm/DreamShaper 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/DreamShaper", 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:
- 0ae2bc22b81bc92dc20f696bb73ad12ce75309c33318e844c80f9a2a7cdd17b7
- Size of remote file:
- 492 MB
- SHA256:
- b1705a99511c03c5bc77adbc66f3285f2ea7ce351542bb316f614ac301030111
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