---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: text-to-image
library_name: diffusers
tags:
- art
- text-to-image
- stable-diffusion
- lora
- diffusers
widget:
  - text: chibi doll, cute
---

# cutton_doll_lora-xl

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64366a453193f279361ced90/_hPyQqPAkHWyaCHoPzxXQ.png)




### 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

#### Changelog
v1: Initial release