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:
- d2a8a65e445dea27de056fb39088f49a21a38f254923f7bdb1948953fea6dd01
- Size of remote file:
- 5.7 GB
- SHA256:
- f6c8ab7a8b2790ce56f3ae3946ad39866fc5250b51b277c9d0eee83ac4f26a92
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