Instructions to use trazer1/T4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trazer1/T4 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-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("trazer1/T4") prompt = "Dirty blonde woman with a sultry expression" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
T

- Prompt
- Dirty blonde woman with a sultry expression
- Negative Prompt
- Fat, ugly
Model description
Trigger words
You should use Tres to trigger the image generation.
You should use woman 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 trazer1/T4
Base model
stabilityai/stable-diffusion-3.5-large