Instructions to use Jonjew/DinaMeyer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/DinaMeyer 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("Jonjew/DinaMeyer") prompt = "Ultra realistic, ultra detailed textures, cinematic, cinematic lighting, 8k, masterpiece, analog photo, front facing view, young dina meyer woman, cinematic, studio lighting, ultra detailed textures, red lips, eye shadow, detailed face, full body shot, blue jeans and a silk long sleeved shirt, in the beach by the pool, glamorous blonde hair, voluminous hair, HD32K, perfect face, ultra detailed, dinam, <lora:Dina Meyer - Flux:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K