ModelsLab LoRA DreamBooth Training - stablediffusionapi/my-stablediffusion-lora-7562
Model description
These are stablediffusionapi/my-stablediffusion-lora-7562 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained using Modelslab. LoRA for the text encoder was enabled: False. Special VAE used for training: None.
Use it with the 🧨 diffusers library
!pip install -q transformers accelerate peft diffusers
from diffusers import DiffusionPipeline
import torch
pipe_id = "stabilityai/stable-diffusion-xl-base-1.0"
pipe = DiffusionPipeline.from_pretrained(pipe_id, torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("stablediffusionapi/my-stablediffusion-lora-7562", weight_name="pytorch_lora_weights.safetensors", adapter_name="abc")
prompt = "abc of a hacker with a hoodie"
lora_scale = 0.9
image = pipe(
prompt,
num_inference_steps=30,
cross_attention_kwargs={"scale": lora_scale},
generator=torch.manual_seed(0)
).images[0]
image
Trigger words
You should use cybergirlv1 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 stablediffusionapi/my-stablediffusion-lora-7562
Base model
stabilityai/stable-diffusion-xl-base-1.0