Instructions to use trysem/DreamShaper-3.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trysem/DreamShaper-3.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("trysem/DreamShaper-3.3", torch_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:
- 1a200de62781821e04d3e59ce307ffaadf43ef75aa00e3b30f894216d39f0b04
- Size of remote file:
- 335 MB
- SHA256:
- cd418499800e020cc2cbf1ed17490341c5a8d40e0a89f2a5a25441b2bfe4a444
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