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hjh3927/
chart4-2-flux-fill-lora

Name: chart4-2-flux-fill-lora
Availability: InStock

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Flux-Fill DreamBooth LoRA - hjh3927/chart4-2-flux-fill-lora

Model description

These are hjh3927/chart4-2-flux-fill-lora DreamBooth LoRA weights for black-forest-labs/FLUX.1-Fill-dev.

The weights were trained using DreamBooth with a custom Flux diffusers trainer.

Was LoRA for the text encoder enabled? False.

Trigger words

You should use infographic chart 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('hjh3927/chart4-2-flux-fill-lora', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('This is a six-panel image grid: Each row has three images. [LEFT]: The original chart. [MIDDLE]: The chart from left keeping only data elements. [RIGHT]: The chart from left keeping only decorative elements. The middle and right together reconstruct the left.').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]