Instructions to use julianmoraes/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use julianmoraes/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("julianmoraes/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
- Draw Things
- DiffusionBee
- Xet hash:
- 9500e57031c93a33493578b1ee0d1d5a4638a324d703660d4bd76f58f23df3c4
- Size of remote file:
- 492 MB
- SHA256:
- bd28b1a16c468f4a169ca6de2ef8636ba058ac88803dfe6e67b91109b76d9b4e
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