KLOWNZone23
/

How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image, export_to_video

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("undefined,lkzd7/WAN2.2_LoraSet_NSFW", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("KLOWNZone23/lora")

prompt = "TOT"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")

image = pipe(image=input_image, prompt=prompt).frames[0]
export_to_video(output, "output.mp4")
A newer version of this model is available: lkzd7/WAN2.2_LoraSet_NSFW

lora

Model description

My lora model

Trigger words

You should use TOT to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Training at fal.ai

Training was done using fal.ai/models/fal-ai/turbo-flux-trainer.

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