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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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README.md

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+---
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+widget:
+- text: "ASCII\0\0\0photo of (ohwx woman) wearing a blue hoodie, <lora:CardiB:1>"
+  parameters:
+    negative_prompt: cleavage, nsfw
+  output:
+    url: images/IMG_9585.jpeg
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: ohwx woman, ohwx
+license: c-uda
+---
+# Cardi B SDXL LoRA
+
+<Gallery />
+
+## Model description 
+
+This model was testing a couple of things. One being the larger training image dataset, hence the larger amount of steps. Two being, yes, a non-1.7GB LoRA. Only future tests&#x2F;outputs&#x2F;comparisons will tell if there is a quality loss in this or not. I decided to scale down the size per high demand and preliminary speculation based on observations that hopefully it wont diminish the overall quality of the model. Worth noting if you are also training SDXL LoRAs yourself that this method of training to achieve 800mb files also lowers your overall GPU VRAM usage from ~18gb to ~15gb.
+
+Most images were on DreamShaper XL A2 in A1111&#x2F;ComfyUI. Hi-res fix with R-ESRGAN (1.25) and 0.2-0.4 denoising strength. Upscaled using &quot;4x_NickelbackFS_72000_G&quot; or &quot;4x_NMKD-Siax_200k&quot;
+
+## Trigger words
+
+You should use `ohwx woman` to trigger the image generation.
+
+You should use `ohwx` to trigger the image generation.
+
+
+## Download model
+
+
+[Download](/minaj546/CardiB/tree/main) them in the Files & versions tab.