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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("obann001/Emma_Vaganova") prompt = "Portrait of a woman, medium brown wavy hair, natural warm skin tone. Style of 3mm@. Raw photo, soft daylight, no over-processed look." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
Generated example for model obann001/Emma_Vaganova.
Prompt: front view high-angle shot from above extreme close-up black and white portrait of the half blonde Daria Vaganova a young woman posing in a studio. She is standing with her body slightly turned to the side, with her arms stretched out to the sides. Her hair is styled in loose waves and falls over her shoulders. She has a serious expression on her face and is looking directly at the camera. The woman is wearing a white knitted cardigan over a white crop top and high-waisted shorts. The cardigan has a ribbed texture and appears to be made of a soft, fuzzy material. The shorts are also made of the same material and are slightly flared at the bottom. The background is a plain, light grey color. The overall mood of the image is serious and contemplative.