face-projection

Face Projection

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Model description

<p>Face Projection - LoRA (Flux.1 D)</p><p></p><p>Trained on images of human faces being projected on, tends to repeat the word or concept over and over in a line pattern.</p><p></p><p>"f4c3_p40j3ct10n, a projection of the word "CIVITAI" on a woman's face"</p><p></p><p>Purz</p><p>Website: <a target="_blank" rel="ugc" href="https://www.purz.xyz/">https://www.purz.xyz/</a><br />Creative Exploration /w Purz: <a target="_blank" rel="ugc" href="https://www.youtube.com/@PurzBeats">https://www.youtube.com/@PurzBeats</a><br />Patreon: <a target="_blank" rel="ugc" href="https://www.patreon.com/Purz">https://www.patreon.com/Purz</a><br />Twitter/X: <a target="_blank" rel="ugc" href="https://x.com/PurzBeats">https://x.com/PurzBeats</a><br />Instagram: <a target="_blank" rel="ugc" href="https://www.instagram.com/purzbeats/">https://www.instagram.com/purzbeats/</a></p>

Trigger words

You should use f4c3_p40j3ct10n to trigger the image generation.

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('Purz/face-projection', weight_name='purz-f4c3_p40j3ct10n.safetensors')
image = pipeline('f4c3_p40j3ct10n, a projection of the word "HUMAN" on a high tech android's head').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers