Instructions to use deAPI-ai/hidreami1dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deAPI-ai/hidreami1dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deAPI-ai/hidreami1dev", 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
- Xet hash:
- fa2ca39a71bff1d556c244a9731ac3c18fbb27ff86d7755f93c54d9c056b3f77
- Size of remote file:
- 495 MB
- SHA256:
- b70c11ad5d7e9abf6109348908f599ea382f8019e1f36910bbc8ebecde936633
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