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README.md

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+---
+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)
+

d4z.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:71d9fb85fa25c70b1b969eca368276fa1c519af09a6ddba52a762d6c72b618e0
+size 39759056