Face Projection
![](https://huggingface.co/Purz/face-projection/resolve/main/34031751.jpeg)
- Prompt
- f4c3_p40j3ct10n, a projection of the word "CIVITAI" on a woman's face
![](https://huggingface.co/Purz/face-projection/resolve/main/34031797.jpeg)
- Prompt
- f4c3_p40j3ct10n, a projection of a donut on a woman's face
![](https://huggingface.co/Purz/face-projection/resolve/main/34031832.jpeg)
- Prompt
- f4c3_p40j3ct10n, purz_face, a projection of the word "PURZ" on a man with glasses's face
![](https://huggingface.co/Purz/face-projection/resolve/main/34031841.jpeg)
- Prompt
- f4c3_p40j3ct10n, a projection of the word "HUMAN" on a high tech android's head
Model description
Face Projection - LoRA (Flux.1 D)
Trained on images of human faces being projected on, tends to repeat the word or concept over and over in a line pattern.
"f4c3_p40j3ct10n, a projection of the word "CIVITAI" on a woman's face"
Purz
Website: https://www.purz.xyz/
Creative Exploration /w Purz: https://www.youtube.com/@PurzBeats
Patreon: https://www.patreon.com/Purz
Twitter/X: https://x.com/PurzBeats
Instagram: https://www.instagram.com/purzbeats/
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
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Model tree for Purz/face-projection
Base model
black-forest-labs/FLUX.1-dev