FLUX.1-dev-LoRA-live-3D
This is a LoRA (Live 3D) trained on FLUX.1-dev for 3D elements by Hongke on Shakker AI.
Showcases
Trigger words
Trigger is not required. The recommended scale is 0.9
to 1.3
in diffusers.
Inference
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-live-3D", weight_name="FLUX-dev-lora-live_3D.safetensors")
pipe.fuse_lora(lora_scale=1.1)
pipe.to("cuda")
prompt = "A colorful cartoon monkey sits on a bus as it rolls down the street in Times Square, New York"
image = pipe(prompt,
num_inference_steps=24,
guidance_scale=3.5,
).images[0]
image.save(f"example.png")
Online Inference
You can also download this model at Shakker AI, where we provide an online interface to generate images.
Acknowledgements
This model is trained by our copyrighted users Hongke. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.
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Base model
black-forest-labs/FLUX.1-dev