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:
- 9bb35eb30738c8705924475098bb9a2c3dfe32fc4725be5d7d07977b2c1a16b6
- Size of remote file:
- 2.78 GB
- SHA256:
- 4d6effa7a5e600cabf7528ed7234146a13ead1b2c151211d706b293a060b112a
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