Instructions to use GamerC0der/TestingModelMakingDreamboothLocal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GamerC0der/TestingModelMakingDreamboothLocal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GamerC0der/TestingModelMakingDreamboothLocal", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4fab231d60c7839b0c147a02ed519acf8e60283b33f2e098bb1870446abcafce
- Size of remote file:
- 2.38 GB
- SHA256:
- 3a68bf9fbb2f6a1c523c5e161e7d0857a75ad1077278a79cd9053db76952a254
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