import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Fill-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("bobby97/step3_c4bb0c5c-123b-40af-8a3e-72201f8f8435")
prompt = "A close-up view showcases the worn surface of a weathered railway track, covered in dirt and debris, conveying a sense of history and rugged industrial charm."
image = pipe(prompt).images[0]Flux Fill based Inpainting model
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 bobby97/step3_c4bb0c5c-123b-40af-8a3e-72201f8f8435
Base model
black-forest-labs/FLUX.1-Fill-dev