Flux DreamBooth LoRA - tuenguyen/thuy_tien_flux_lora8
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- Prompt
- The photo of <THUY> in the office
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- Prompt
- The photo of <THUY> in the office
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- Prompt
- The photo of <THUY> in the office
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- Prompt
- The photo of <THUY> in the office
Model description
These are tuenguyen/thuy_tien_flux_lora8 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.
Trigger words
You should use <THUY>
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('tuenguyen/thuy_tien_flux_lora8', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('The photo of <THUY> in the office').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 pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for tuenguyen/thuy_tien_flux_lora8
Base model
black-forest-labs/FLUX.1-dev