Instructions to use Charnx2/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Charnx2/lora-trained-xl 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("Charnx2/lora-trained-xl") prompt = "Victorian-style illustration of sks Alice from Wonderland, falling down the rabbit hole bordered by floating furniture, books, and tea pots." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("Charnx2/lora-trained-xl")
prompt = "Victorian-style illustration of sks Alice from Wonderland, falling down the rabbit hole bordered by floating furniture, books, and tea pots."
image = pipe(prompt).images[0]LoRA DreamBooth - Charnx2/lora-trained-xl
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on Victorian-style illustration of sks Alice from Wonderland, falling down the rabbit hole bordered by floating furniture, books, and tea pots. using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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Model tree for Charnx2/lora-trained-xl
Base model
stabilityai/stable-diffusion-xl-base-1.0


