Instructions to use deAPI-ai/hidreami1full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deAPI-ai/hidreami1full 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/hidreami1full", 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
Download text_encoder_4/tokenizer.json from deAPI-ai/hidreami1full: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/deAPI-ai/hidreami1full/resolve/main/text_encoder_4/tokenizer.json
- Command line
-
hf download hf://deAPI-ai/hidreami1full/text_encoder_4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/deAPI-ai/hidreami1full/resolve/main/text_encoder_4/tokenizer.json
17.2 MB
- Xet hash:
- 2e56cad9ac2a38f4b7de211953881b613c19e51838c05adf8f7984c139c2e8f5
- Size of remote file:
- 17.2 MB
- SHA256:
- 6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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