Instructions to use udg/ambimix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/ambimix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/ambimix", 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:
- b699ad904573553aa2125ca51f74f087319df3b4dfead1131361030f8e8088fb
- Size of remote file:
- 335 MB
- SHA256:
- 36865f9b36f1e2e7d3b365531c20ab8a77b65cdbaedee8d61c80d278ba7cf82b
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