Flux-Fill DreamBooth LoRA - HelloMizz/flux-fill-pizza-lora-07

- Prompt
- A pizza poster with prodigy, constant

- Prompt
- A pizza poster with prodigy, constant

- Prompt
- A pizza poster with prodigy, constant

- Prompt
- A pizza poster with prodigy, constant
Model description
These are HelloMizz/flux-fill-pizza-lora-07 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 A pizza poster with prodigy, constant, batch size2
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('HelloMizz/flux-fill-pizza-lora-07', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('A pizza poster with prodigy, constant').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 HelloMizz/flux-fill-pizza-lora-07
Base model
black-forest-labs/FLUX.1-Fill-dev