Instructions to use j778/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use j778/test_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("j778/test_model", 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:
- 5ec0d9752e77ace99d634e1cfe4ac65922efc5130b50ca56c7cd32b7adcf1dc5
- Size of remote file:
- 1.39 GB
- SHA256:
- c9e760f1ed86ee74d5b624e8a60e9a630dfcc4170256e49422ba50b5c3cac822
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