ModelsLab LoRA DreamBooth Training - stablediffusionapi/my-stablediffusion-lora-5611
Model description
These are stablediffusionapi/my-stablediffusion-lora-5611 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-5611", 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 sofa, furniture, floor, interior, living room,brown leather 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-5611
Base model
stabilityai/stable-diffusion-xl-base-1.0