Instructions to use Jonjew/KimberlyHartPinkPowerRanger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/KimberlyHartPinkPowerRanger 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/KimberlyHartPinkPowerRanger") prompt = "A captivating, stunning, and highly detailed full-body photo of a young woman around 19 years old. She is wearing a pink dress and smiling. She stands at a 3/4 angle and has shoulder-length light-brown hair. This highly detailed image is realistic, sharp focus, perfect composition, and RAW. The photo is candid with the best quality and intricate details. kimberlyhart, head and shoulders, headshot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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