Instructions to use fcsaba/csaba-style-sdxl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fcsaba/csaba-style-sdxl-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fcsaba/csaba-style-sdxl-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Csaba Style SDXL LoRA
A 2D naive MS Paint style trained on SDXL 1.0.
Local / Colab Usage
import torch
from diffusers import AutoPipelineForText2Image
pipe = AutoPipelineForText2Image.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16
).to("cuda")
pipe.load_lora_weights("YOUR_HF_USERNAME/csaba-style-sdxl-lora")
image = pipe(
prompt="dragon in csaba style",
cross_attention_kwargs={"scale": 1.1}
).images[0]
image.save("dragon.png")
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Model tree for fcsaba/csaba-style-sdxl-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0