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:
- 0a06df767ffed36802fb2d2ca2f33dea92c8a372a8b8828a1bcdc3dd0c53235d
- Size of remote file:
- 4.9 GB
- SHA256:
- 3a4b559411fbef7373773f43600bd2fe7761c4bf167b9652685ff66d21e86d62
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