Instructions to use admruul/hassan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use admruul/hassan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("admruul/hassan", 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 text_encoder/pytorch_model.bin from admruul/hassan: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/admruul/hassan/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://admruul/hassan/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/admruul/hassan/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 298a8bbd66b75e3aece82dc713277c4d41dfac2ce72a579219ee6fef03d41d52
- Size of remote file:
- 492 MB
- SHA256:
- 83b9e059a2af92f8bdff755be76dcaa30b7473346541aadee05707a601cc616e
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