import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("lllyasviel/FramePackI2V_HY", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("bdsqlsz/framepack_oneframe_qinglong_figure")
prompt = "-"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(image=input_image, prompt=prompt).images[0]qinglong_figure
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Default prompts:"transform character to PVC figure with simple background."
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lllyasviel/FramePackI2V_HY