---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- celebrity

base_model: runwayml/stable-diffusion-v1-5
instance_prompt: d4z
widget:
- text: 'd4z'
  
  output:
    url: >-
      42422550.jpeg

---

# Dazman79 

<Gallery />





## Model description

<p>Dazman79, d4z keyword</p>

## Trigger words
You should use `d4z` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/brenry/dazman79/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to(device)
pipeline.load_lora_weights('brenry/dazman79', weight_name='d4z.safetensors')
image = pipeline('d4z').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)