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("xumouyi/pose-control-lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]controlnet-lora-xumouyi/pose-control-lora
These are Control LoRA weights trained on black-forest-labs/FLUX.1-Fill-dev with new type of conditioning. You can find some example images below.
prompt: The design features a vibrant purple background. In the upper portion, there is a light purple rectangle that resembles a credit card, adorned with yellow elements. The card has a grid-like pattern in the top left corner, a dashed line suggesting a card number below it, and two solid yellow lines. At the bottom left, there is a small yellow rectangle that could represent a button or additional card detail.
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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black-forest-labs/FLUX.1-Fill-dev