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---
license: creativeml-openrail-m
pipeline_tag: text-to-image
library_name: diffusers
tags:
- art
- text-to-image
- stable-diffusion
- lora
- diffusers
widget:
- text: >-
A refined, noblewoman standing gracefully in a lush garden. She has an
elaborate updo adorned with delicate pearls and flowers, and she wears a
flowing, pastel-colored gown with intricate lace details. Her serene
expression is highlighted by soft, natural lighting. The background features
blooming roses and a classical stone fountain, creating a sense of timeless
elegance and tranquility.
output:
url: images/image_3.png
- text: >-
A bearded inventor with wild, curly hair, standing confidently in his
steampunk workshop. He wears brass goggles on his forehead, a leather apron
over a white shirt with rolled-up sleeves, and fingerless gloves. His hands
are slightly stained with grease, and he holds a small, intricate mechanical
device. The background is cluttered with gears, blueprints, and tools,
illuminated by the warm glow of oil lamps, giving the scene a creative,
industrious atmosphere.
output:
url: images/image_4.png
- text: >-
A cyberpunk hacker with neon blue hair and cybernetic implants on their
face, seated in front of multiple holographic screens in a dark, high-tech
room. They wear a sleek, black leather jacket with glowing circuit patterns,
and their fingers are covered in cybernetic gloves that interface directly
with the floating data. The background is a chaotic mix of digital code,
flashing lights, and wires, emphasizing the high-tech, futuristic setting.
output:
url: images/image_5.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
---
# cutton_doll_lora-xl
### Need more performance?
Use it with a LCM Lora!
Use 8 steps and guidance scale of 1.5
1.2 Lora strength for the Pixel Art XL works better
```python
from diffusers import DiffusionPipeline, LCMScheduler
import torch
model_id = "stabilityai/stable-diffusion-xl-base-1.0"
lcm_lora_id = "latent-consistency/lcm-lora-sdxl"
pipe = DiffusionPipeline.from_pretrained(model_id, variant="fp16")
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
pipe.load_lora_weights(lcm_lora_id, adapter_name="lora")
pipe.load_lora_weights("./cutton_doll_lora-xl.safetensors", adapter_name="doll_sdxl")
pipe.set_adapters(["lora", "doll_sdxl"], adapter_weights=[1.0, 1.2])
pipe.to(device="cuda", dtype=torch.float16)
prompt = "a chibi doll, cute"
negative_prompt = "3d render, realistic"
num_images = 9
for i in range(num_images):
img = pipe(
prompt=prompt,
negative_prompt=negative_prompt,
num_inference_steps=8,
guidance_scale=1.5,
).images[0]
img.save(f"lcm_lora_{i}.png")
```
### Tips:
Don't use refiner
Works great with only 1 text encoder
No style prompt required
No trigger keyword require
Works great with isometric and non-isometric
Works with 0.9 and 1.0
## Download model
Weights for this model are available in Safetensors format.
[Download](/PPSharks/cutton_doll_lora-xl/tree/main) them in the Files & versions tab.
#### Changelog
v1: Initial release |