Instructions to use Changg/5e-6_content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Changg/5e-6_content 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("Changg/5e-6_content") prompt = "A monadikos stuffed animal floating in the river" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL LoRA DreamBooth - Changg/5e-6_content

- Prompt
- A monadikos stuffed animal floating in the river

- Prompt
- A monadikos stuffed animal floating in the river

- Prompt
- A monadikos stuffed animal floating in the river

- Prompt
- A monadikos stuffed animal floating in the river
Model description
These are Changg/5e-6_content LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
Trigger words
You should use A monadikos stuffed animal in watercolor painting style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 1
Model tree for Changg/5e-6_content
Base model
stabilityai/stable-diffusion-xl-base-1.0