Instructions to use gz8iz/Nancy_Faeser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gz8iz/Nancy_Faeser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gz8iz/Nancy_Faeser") prompt = "nfa bre in front of a green background, strong cinematic color, magical atmosphere, dynamic dramatic colorful, deep focus, perfect composition, elegant, highly detailed, designed, sharp detail, beautiful, innocent, mystical, inspired, clear, aesthetic, creative, historic, fine scientific, artistic, winning, pure, rational, cool, light, saturated colors, extremely coherent, cute" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Nancy Faeser

- Prompt
- nfa bre in front of a green background, strong cinematic color, magical atmosphere, dynamic dramatic colorful, deep focus, perfect composition, elegant, highly detailed, designed, sharp detail, beautiful, innocent, mystical, inspired, clear, aesthetic, creative, historic, fine scientific, artistic, winning, pure, rational, cool, light, saturated colors, extremely coherent, cute
- Negative Prompt
- unrealistic, saturated, high contrast, big nose, painting, drawing, sketch, cartoon, anime, manga, render, CG, 3d, watermark, signature, label
Model description
just a LORA of Nancy Faeser
Trigger words
You should use nfa to trigger the image generation.
You should use bre to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for gz8iz/Nancy_Faeser
Base model
stabilityai/stable-diffusion-xl-base-1.0