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DD-toy-v2.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:63e4fa0af8faa45f332cd69823d2b0480696f318b2cf7beb834590a118141559
+size 228451620

README.md

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+---
+license: other
+license_name: bespoke-lora-trained-license
+license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- concept
+- action figure
+- figure
+- toy
+- concpet
+- xl lora
+
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: toy
+widget:
+- text: ' toy, photo George w bush mission accomplished'
+  output:
+    url: >-
+      3328637.jpeg
+- text: ' toy fall autumn pepe'
+  output:
+    url: >-
+      3328917.jpeg
+- text: ' toy, photo goku on a skateboard,'
+  output:
+    url: >-
+      3328638.jpeg
+- text: ' toy bill Clinton Saxaphone'
+  output:
+    url: >-
+      3329095.jpeg
+- text: ' toy dogs playing poker'
+  output:
+    url: >-
+      3328796.jpeg
+- text: ' toy photo nicolas cage car'
+  output:
+    url: >-
+      3328734.jpeg
+
+---
+
+# Doctor Diffusion's Toy XL Style LoRA 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>Use "<strong>toy</strong>" in prompt.<br /><br /><span style="color:rgb(17, 17, 17)">☕ </span>Like what I do? <span style="color:rgb(17, 17, 17)">☕</span><br /><span style="color:rgb(17, 17, 17)">☕ </span><a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/doctordiffusion">Buy me a coffee or two</a>! <span style="color:rgb(17, 17, 17)">☕</span></p>
+
+## Trigger words
+You should use `toy`, `photo` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/DoctorDiffusion/doctor-diffusion-s-toy-xl-style-lora/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
+
+pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('DoctorDiffusion/doctor-diffusion-s-toy-xl-style-lora', weight_name='DD-toy-v2.safetensors')
+image = pipeline(' toy photo nicolas cage car').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)
+