Instructions to use obann001/Emma_Vaganova with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obann001/Emma_Vaganova with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("obann001/Emma_Vaganova") prompt = "raw cinematic photo of two beautiful young women are dancing and singing on a sunny day. They are both wearing white crop tops and light-colored jeans. The woman on the left has curly hair and is holding a phone. The woman on the right has long wavy medium brown blonde hair with very blonde eyebrows, detailed eyebrows and is gesturing with her hands as she sings. The background is a bright blue sky with some white railings visible. Natural lighting no over-contrast, no over-processed. Style of 3mm@." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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