Instructions to use dominic1021/mixed-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dominic1021/mixed-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dominic1021/mixed-models", 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:
- 46f9573fc765ae5fdb5dd8fa773de72519ef138bc4e8b4e6dd2c8c1374b700fe
- Size of remote file:
- 492 MB
- SHA256:
- 197835f6e30cbba5281f0646f94afd78dbcd3184a41dbbe820610accb67435dd
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