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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=Rent&allowDerivatives=True&allowDifferentLicense=False
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- disney
+- pixar
+- dreamworks
+- style
+- cartoon
+- sdxl style lora
+
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: DreamDisPix style
+widget:
+- text: 'Shrek playing with olaf in a frozen field DreamDisPix style '
+  output:
+    url: >-
+      4857923.jpeg
+- text: 'The girl from the incredibles shooting a laser gun  DreamDisPix style '
+  output:
+    url: >-
+      4857954.jpeg
+- text: 'The girl with a pearl earring  DreamDisPix style  '
+  output:
+    url: >-
+      4857994.jpeg
+- text: 'Snoop Dogg  DreamDisPix style  '
+  output:
+    url: >-
+      4857995.jpeg
+- text: 'A mighty dragon at the dentist DreamDisPix style '
+  output:
+    url: >-
+      4858005.jpeg
+- text: 'A cute dragon playing with Eevee DreamDisPix style '
+  output:
+    url: >-
+      4857996.jpeg
+- text: 'Zombie Cinderella has rissen from the dead  DreamDisPix style '
+  output:
+    url: >-
+      4858004.jpeg
+- text: 'Santa riding a might dragon DreamDisPix style '
+  output:
+    url: >-
+      4858026.jpeg
+- text: 'Pocahontas riding a Zebra  DreamDisPix style '
+  output:
+    url: >-
+      4858031.jpeg
+- text: 'American gothic  DreamDisPix style  '
+  output:
+    url: >-
+      4858028.jpeg
+
+---
+
+# Dream Dis Pix XL 
+
+<Gallery />
+
+
+
+([CivitAI](https://civitai.com/models/242711))
+
+## Model description
+
+<p><span>A (kinda failed) attempt to train an SDXL LoRA model upon on a mixed style dataset of images from </span><strong><span>Dream</span></strong><span>works, </span><strong><span>Dis</span></strong><span>ney and </span><strong><span>Pix</span></strong><span>ar. I have uploaded this</span><a rel="ugc" href="https://huggingface.co/datasets/Norod78/DreamDisPix-blip2-captions"><span> Blip2-Captioned Dataset to Huggingface</span></a><span>. </span><br /><br /><span>I usually prefer to train in LoRA ranks 4-16 because so far it always seemed to be enough and provided a reasonably small checkpoint but in this case, I only started getting results when I went for Rank-32, even tried 24 and it was not enough.</span><br /><br />M<span>y conclusion is that it should have probably been trained as several different lower ranked LoRAs each for the specific visual sub-style and it would have probably looked way better for each.</span></p>
+
+## Trigger words
+You should use `DreamDisPix style` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/Norod78/dream-dis-pix-xl/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('Norod78/dream-dis-pix-xl', weight_name='SDXL-DreamDisPix-Lora-r32.safetensors')
+image = pipeline('American gothic  DreamDisPix style  ').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)
+

SDXL-DreamDisPix-Lora-r32.safetensors

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+size 228504012