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:
- 070c794bc996f9076eb2192450ce66d03b7af3367a647d9d7bcac41ed17c1e11
- Size of remote file:
- 492 MB
- SHA256:
- 26801551d451cfba86de95c7f63a6e353401a9b8095839c4b8c311ce0b62266c
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