Instructions to use NYUAD-ComNets/Asian_Male_Profession_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NYUAD-ComNets/Asian_Male_Profession_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NYUAD-ComNets/Asian_Male_Profession_Model") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/optimizer.bin from NYUAD-ComNets/Asian_Male_Profession_Model: direct link, hf CLI and curl.
- Browser
- Download file 47.1 MB
-
https://huggingface.co/NYUAD-ComNets/Asian_Male_Profession_Model/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://NYUAD-ComNets/Asian_Male_Profession_Model/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/NYUAD-ComNets/Asian_Male_Profession_Model/resolve/main/checkpoint-2500/optimizer.bin
47.1 MB
- Xet hash:
- d570b6fa9e06c030ce18fba3823c55ecde9163cb18461718e828b3ddfb74d001
- Size of remote file:
- 47.1 MB
- SHA256:
- 87f79e565cf0b5dca83269e2a9df4de178fac9decaf2b6529365c965700ca7b2
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