Instructions to use Jonjew/VikingPrincessCFH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/VikingPrincessCFH 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/VikingPrincessCFH") prompt = "A fierce Viking woman standing on a rocky shoreline at dawn, facing the camera with an intense, unflinching gaze. She wears a dusty crimson and bone white fur-trimmed V1k1nG_Pr1nC3sS outfit, featuring a battle-ready aged bronze sculpted corset, a split skirt with worn leather textures, tall distressed boots, and a heavy fur-lined cape flowing behind her in the wind. Her long wavy brown hair is wild and windblown. A bold black war paint stripe runs across her eyes, giving her a fierce, intimidating appearance. In the background, a Viking longship with a red and white striped sail floats in the water, silhouetted against a dramatic orange sunrise. She grips a bloodstained axe in one hand and stands over a beach scattered with broken shields and debris. The lighting is cold and natural, with photorealistic textures, cinematic shadows, and gritty realism throughout the scene.<lora:Viking_Princess_CFH.safetensors:1.0:1.0>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!