Instructions to use obann001/Dravidya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obann001/Dravidya with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/RealVisXL_V5.0_fp16", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("obann001/Dravidya") prompt = "A digitally rendered or AI-generated image portrays a powerful, dark skin native american woman adorned in ornate, ancient Egyptian-style regalia, standing confidently before a textured, hieroglyphic-like backdrop. Saraptah" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.bin from obann001/Dravidya: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/obann001/Dravidya/resolve/main/optimizer.bin
- Command line
-
hf download hf://obann001/Dravidya/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/obann001/Dravidya/resolve/main/optimizer.bin
910 MB
- Xet hash:
- 9926cc42c7e1d53addfed56d8f2c66a9773ff33e03d3616071e821267e3aa3fe
- Size of remote file:
- 910 MB
- SHA256:
- f555344c2c112a106a4cdacdaebccf8bf928e8503a6d20990c2df2ff9464d25e
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