Instructions to use Disty0/sotediffusion-wuerstchen3-alpha2-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sotediffusion-wuerstchen3-alpha2-decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/sotediffusion-wuerstchen3-alpha2-decoder", 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:
- 2fc3197a8af875a125907567f36da5d7c6f0a68a44bc759e180400e4bc72e824
- Size of remote file:
- 3.13 GB
- SHA256:
- 24be18088d4e0029b0e26016e5a87e348a809dacddaf973b8d8dbfb9bfe34790
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