Instructions to use gz8iz/Svenja_Schulze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gz8iz/Svenja_Schulze 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/Svenja_Schulze") prompt = "\tssh bre in front of a green background, highly detailed, magic, perfect composition, beautiful intricate stunning amazing detail, sharp focus, creative, ambient light, colorful, very inspirational, innocent, fine, balanced colors, cinematic, elegant, complex, epic, professional, winning, new, color, clear, crisp, artistic, novel, surreal, intriguing, awesome, illuminated" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Svenja Schulze

- Prompt
- ssh bre in front of a green background, highly detailed, magic, perfect composition, beautiful intricate stunning amazing detail, sharp focus, creative, ambient light, colorful, very inspirational, innocent, fine, balanced colors, cinematic, elegant, complex, epic, professional, winning, new, color, clear, crisp, artistic, novel, surreal, intriguing, awesome, illuminated
- Negative Prompt
- unrealistic, saturated, high contrast, big nose, painting, drawing, sketch, cartoon, anime, manga, render, CG, 3d, watermark, signature, label
Model description
just an LORA of Svenja Schulze
Trigger words
You should use ssh 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/Svenja_Schulze
Base model
stabilityai/stable-diffusion-xl-base-1.0