How to use from the
Use from the
Diffusers library
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("LinAnnJose/oldmancharactergenerationv6")

prompt = "A full body sketch of charctr_omn wearing grey shirt and black pant is running with a plain green background.The sketch should depict no more than two arms, two legs and one head, and only the single character should be present."
image = pipe(prompt).images[0]

AutoTrain SDXL LoRA DreamBooth - LinAnnJose/oldmancharactergenerationv6

Prompt
A full body sketch of charctr_omn wearing grey shirt and black pant is running with a plain green background.The sketch should depict no more than two arms, two legs and one head, and only the single character should be present.
Prompt
A full body sketch of charctr_omn wearing grey shirt and black pant is running with a plain green background.The sketch should depict no more than two arms, two legs and one head, and only the single character should be present.

Model description

These are LinAnnJose/oldmancharactergenerationv6 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 sketch of charctr_omn with a plain green background 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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