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("issaccyj/lora-sdxl-cartoonlinedrawing")
prompt = "a cat walking in szn style"
image = pipe(prompt).images[0]SDXL LoRA DreamBooth - issaccyj/lora-sdxl-cartoonlinedrawing
- Prompt
- a cat walking in szn style
- Prompt
- a cat walking in szn style
- Prompt
- a cat walking in szn style
- Prompt
- a cat walking in szn style
Model description
These are issaccyj/lora-sdxl-cartoonlinedrawing 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 person drowining into the phone in szn style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for issaccyj/lora-sdxl-cartoonlinedrawing
Base model
stabilityai/stable-diffusion-xl-base-1.0