Purz/uv-unwrapped-head

UV Unwrapped Head

Prompt

uv_unwrapp3d_h34d, a woman with long hair wearing a black shirt. her face is clearly visible

Prompt

uv_unwrapp3d_h34d, a man with long hair and a beard wearing a black shirt. his face is clearly visible

Prompt

uv_unwrapp3d_h34d, a man with long hair and a beard wearing a black shirt. his face is clearly visible

Prompt

uv_unwrapp3d_h34d, a woman with long hair wearing a black shirt. her face is clearly visible

Prompt

uv_unwrapp3d_h34d a man with a beard and a black shirt against a black background. his facial features are clearly visible

Prompt

uv_unwrapp3d_h34d, a man with a beard

Model description

UV Unwrapped Face - LoRA (Flux.1 D)

Trained on images of UV Unwrapped heads.

Works best at 1.0 strength, when mixed with other loras it tends to just stretch out the faces really wide, you have to really give this one a lot of strength to keep the effect in place.

This is mostly for testing and fun, it's not making REAL uv unwrapped faces.

"uv_unwrapp3d_h34d, a woman with long hair. her face is clearly visible"

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 uv_unwrapp3d_h34d 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/uv-unwrapped-head', weight_name='purz-uv_unwrapp3d_h34d.safetensors')
image = pipeline('uv_unwrapp3d_h34d, a man with a beard').images[0]

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