Instructions to use galactoid34/ananyav2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use galactoid34/ananyav2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/Flex.1-alpha", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("galactoid34/ananyav2") prompt = "ananyav2, beautiful 22-year-old Indian woman, soft smile, long black wavy hair, warm brown eyes, natural makeup, wearing a fitted white crop top and high-waisted blue jeans, golden hour sunlight, shallow depth of field, highly detailed skin, realistic photography, 85mm lens, cinematic lighting, ultra realistic, masterpiece" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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