license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- concept
- face
- head
- uv
- purz
- flux1.d
- uv unwrap
- uv unwrapped head
- unwrapped
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: uv_unwrapp3d_h34d
widget:
- text: >
uv_unwrapp3d_h34d, a woman with long hair wearing a black shirt. her face
is clearly visible
output:
url: 34075876.jpeg
- text: >
uv_unwrapp3d_h34d, a man with long hair and a beard wearing a black shirt.
his face is clearly visible
output:
url: 34075843.jpeg
- text: >
uv_unwrapp3d_h34d, a man with long hair and a beard wearing a black shirt.
his face is clearly visible
output:
url: 34075879.jpeg
- text: >
uv_unwrapp3d_h34d, a woman with long hair wearing a black shirt. her face
is clearly visible
output:
url: 34075903.jpeg
- text: >-
uv_unwrapp3d_h34d a man with a beard and a black shirt against a black
background. his facial features are clearly visible
output:
url: 34075910.jpeg
- text: uv_unwrapp3d_h34d, a man with a beard
output:
url: 34075921.jpeg
UV Unwrapped Head
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