Instructions to use ZboroDavis/Dvidzz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZboroDavis/Dvidzz 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("ZboroDavis/Dvidzz") prompt = "dvidzmodel, This is a photograph of a curvy, attractive Latina woman with long, straight black hair and medium tan skin. She's wearing a fitted white crop top and high-waisted light blue jeans that hug her figure. She stands casually against a modern, dimly lit background with warm lighting, leaning on a sleek black countertop, her expression relaxed and confident." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
dvidzz

- Prompt
- dvidzmodel, This is a photograph of a curvy, attractive Latina woman with long, straight black hair and medium tan skin. She's wearing a fitted white crop top and high-waisted light blue jeans that hug her figure. She stands casually against a modern, dimly lit background with warm lighting, leaning on a sleek black countertop, her expression relaxed and confident.
Download model
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Model tree for ZboroDavis/Dvidzz
Base model
black-forest-labs/FLUX.1-dev