unknownmixorgacc/alisa-masked-cropped-cosine-rank16
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Flux DreamBooth LoRA - unknownmixorgacc/alisa-masked-cropped-cosine-rank16
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Model description
These are unknownmixorgacc/alisa-masked-cropped-cosine-rank16 DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
The weights were trained using DreamBooth with the Flux diffusers trainer.
Was LoRA for the text encoder enabled? False.
Pivotal tuning was enabled: False.
Trigger words
You should use p3rs0nl0ra to trigger the image generation.
Download model
Download the *.safetensors LoRA in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('unknownmixorgacc/alisa-masked-cropped-cosine-rank16', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('p3rs0nl0ra Ultra-realistic 8K portrait of a stylish woman sitting on a cozy blanket outdoors in a serene winter setting. She wears a warm beige and brown shearling jacket layered over a soft scarf, paired with white trousers and casual sneakers. Her dark, wavy hair cascades over her shoulders as she gazes warmly at the camera, her hand resting gently on her cheek. Behind her, a picturesque snow-covered landscape with a bridge and bare trees adds depth and tranquility to the scene. The soft, natural lighting enhances her relaxed and effortlessly chic appearance, creating a calm and inviting winter atmosphere. 8K, cinematic winter photography').images[0]For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
License
Please adhere to the licensing terms as described here.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipelineLimitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]