linoyts/yarn_art_Flux_LoRA

Flux DreamBooth LoRA - linoyts/yarn_art_flux_1_700_custom

Prompt

yoda, yarn art style

Prompt

cookie monster, yarn art style

Prompt

a dragon spewing fire, yarn art style

Prompt

albert einstein, yarn art style

Prompt

a panda riding a rocket, yarn art style

Prompt

the joker, yarn art style

Model description

These are linoyts/yarn_art_flux_1_700_custom 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 yarn art style 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('linoyts/yarn_art_flux_1_700_custom', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('a Yarn art style tarot card').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]