Instructions to use Jaaneabubakar/umair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jaaneabubakar/umair 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("Jaaneabubakar/umair") prompt = "umair" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
Generated example for model Jaaneabubakar/umair.
Prompt: “Create a sharp, highly detailed realistic image of a man with short hair and a short beard, dressed in a perfectly tailored grey suit, standing confidently at a podium or on stage at a tech event. He is holding a microphone in one hand, with his other hand raised as if explaining a concept with clarity and authority. His expression is serious yet approachable, exuding professionalism and expertise. His face is clean, with smooth skin and light pink lips, adding a natural, polished appearance. He is not wearing glasses, keeping his look modern and focused. The setting is a sleek, contemporary tech event with clean, minimalistic design elements. Professional lighting illuminates the man, highlighting his face and suit while casting soft, natural shadows that add depth and dimension to the scene. The camera angle is perfectly aligned, slightly low, emphasizing his commanding presence. The background features a blurred audience and subtle tech-themed decor, ensuring the focus remains on him. The atmosphere is sophisticated and professional, with the image crisp, detailed, and sharp, featuring impeccable lighting and shadow play that enhances the polished, high-tech mood.”