Instructions to use DiffusersVersionsOfModels/hidream-i1-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiffusersVersionsOfModels/hidream-i1-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DiffusersVersionsOfModels/hidream-i1-dev", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download demo.jpg from DiffusersVersionsOfModels/hidream-i1-dev: direct link, hf CLI and curl.
- Browser
- Download file 3.02 MB
-
https://huggingface.co/DiffusersVersionsOfModels/hidream-i1-dev/resolve/main/demo.jpg
- Command line
-
hf download hf://DiffusersVersionsOfModels/hidream-i1-dev/demo.jpg
-
curl -L -o demo.jpg https://huggingface.co/DiffusersVersionsOfModels/hidream-i1-dev/resolve/main/demo.jpg
3.02 MB

- Xet hash:
- d1a3077e07f578f044fe31ecf1b87b926770711b1d7d437cefecbce5da0a6f0c
- Size of remote file:
- 3.02 MB
- SHA256:
- 0564174e380e48c1122d20f3af541ee0b31a231dbafaabe7b8d31434d7ef1149
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