SD3.5-LoRA-Chinese-Line-Art
![](https://huggingface.co/Shakker-Labs/SD3.5-LoRA-Chinese-Line-Art/resolve/main/images/0640244a27a6955bdc2740ef1bacafaf716d194fb77c5346264d91da.jpg)
- Prompt
- a fisherman nearby river, Chinese line art
- Negative Prompt
- (lowres, low quality, worst quality)
![](https://huggingface.co/Shakker-Labs/SD3.5-LoRA-Chinese-Line-Art/resolve/main/images/f1984bbc23957d65e0bd86273f7e8b1c22b53e2cd51ab4fa83680c87.jpg)
- Prompt
- a woman, Chinese line art
- Negative Prompt
- (lowres, low quality, worst quality)
![](https://huggingface.co/Shakker-Labs/SD3.5-LoRA-Chinese-Line-Art/resolve/main/images/756607bc025fe25935c39225bf18f3c98d24aa5878541533a9ca3424.jpg)
- Prompt
- Beijing City, Chinese line art
- Negative Prompt
- (lowres, low quality, worst quality)
Trigger words
You should use Chinese line art
to trigger the image generation.
Inference
import torch
from diffusers import StableDiffusion3Pipeline # pip install diffusers>=0.31.0
pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/SD3.5-LoRA-Chinese-Line-Art", weight_name="SD35-lora-Chinese-Line-Art.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")
prompt = "a boat on the river, mountain in the distance, Chinese line art"
negative_prompt = "(lowres, low quality, worst quality)"
image = pipe(prompt=prompt,
negative_prompt=negative_prompt
num_inference_steps=24,
guidance_scale=4.0,
width=960, height=1280,
).images[0]
image.save(f"toy_example.jpg")
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Model tree for Shakker-Labs/SD3.5-LoRA-Chinese-Line-Art
Base model
stabilityai/stable-diffusion-3.5-large