Keltezaa/mckenna-grace-768-portrait

Mckenna Grace, 768 portrait

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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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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