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
Upload folder using huggingface_hub
Browse files- model.safetensors +1 -1
- optimizer.bin +1 -1
- random_states_0.pkl +1 -1
- train_state.json +1 -1
model.safetensors
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optimizer.bin
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random_states_0.pkl
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train_state.json
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{"current_epoch":
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{"current_epoch": 4, "current_step": 750}
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