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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
+- celebrity
+
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: 
+widget:
+- text: ' '
+  
+  output:
+    url: >-
+      30071437.jpeg
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+  
+  output:
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+      30071418.jpeg
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+  
+  output:
+    url: >-
+      30071419.jpeg
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+  
+  output:
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+  
+  output:
+    url: >-
+      30071422.jpeg
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+  output:
+    url: >-
+      30071424.jpeg
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+  
+  output:
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+      30071434.jpeg
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+  output:
+    url: >-
+      30071436.jpeg
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+      30071439.jpeg
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+  
+  output:
+    url: >-
+      30072383.jpeg
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+
+---
+
+# Mckenna Grace, 768 portrait 
+
+<Gallery />
+
+
+
+
+
+## Model description
+
+<p>Specially for portraits and closeup portraits. Selected eyes look at camera. HD and sharp images selected to dataset. Used 100-150 photos.</p><p>Trained on Comfyui FluxTrainer on 16gb Vram</p><p>Better use resolution 768 (minimize face-body proportion distortions) and than upscale whatever you want.</p><p>Small size of LORA because of training only 2 blocks: 7 and 20.</p><p>Top line of the GRID is this checkpoint. Grids for lora strength 0.8 and 1.2</p>
+
+
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/Keltezaa/mckenna-grace-768-portrait/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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
+pipeline.load_lora_weights('Keltezaa/mckenna-grace-768-portrait', weight_name='mckenna_768_rank128_bf16-step03500.safetensors')
+image = pipeline('Your custom prompt').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)
+

mckenna_768_rank128_bf16-step03500.safetensors

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+size 9443092