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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=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- migrated
+- style
+- cartoon
+- childrens books
+
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: evang
+widget:
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+---
+
+# children's story book 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>data set built of images from a midjourney of children's book illustrations</p><p></p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div>
+
+## Trigger words
+You should use `evang` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/brushpenbob/children-s-story-book/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('brushpenbob/children-s-story-book', weight_name='childrens_story_book.safetensors')
+image = pipeline('`evang`').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)
+

childrens_story_book.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:291aeab878566133ce90258ad3cb0306e6e460ca76b18a76ac4421562fd24094
+size 228462388