Instructions to use aivibes9/tranzp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aivibes9/tranzp 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("aivibes9/tranzp") prompt = "bunny, tranzp <lora:tranzp-sdxl:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
transparent

- Prompt
- bunny, tranzp <lora:tranzp-sdxl:1>
- Negative Prompt
- (worst quality, low quality, normal quality:2), blurry, distorted, cartoon, illustration, text, watermark, jpeg artifacts, deformed, mutated hands, extra fingers, extra limbs, bad anatomy, unrealistic proportions, oversaturated, noisy background
Model description
A futuristic transparent lion made of crystalline glass, glowing in neon colors, showing internal mechanical details, tranzp style
Trigger words
You should use tranzp to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for aivibes9/tranzp
Base model
stabilityai/stable-diffusion-xl-base-1.0