lora-d2034de9-ce83-409a-9ba1-aae6d338d5fd-abc042

SDXL LoRA: porous

This is a LoRA (Low-Rank Adaptation) model for Stable Diffusion XL fine-tuned on images with the trigger word porous.

Files

• pytorch_lora_weights.safetensors: Diffusers format (use with diffusers library)
• pytorch_lora_weights_webui.safetensors: Kohya format (use with AUTOMATIC1111, ComfyUI, etc.)

Usage

Diffusers Library

from diffusers import StableDiffusionXLPipeline
import torch

# Load base model
pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16
)

# Load LoRA weights (diffusers format)
pipe.load_lora_weights("runchat/lora-d2034de9-ce83-409a-9ba1-aae6d338d5fd-abc042", weight_name="pytorch_lora_weights.safetensors")
pipe = pipe.to("cuda")

# Generate image
prompt = "a photo of porous style"
image = pipe(prompt, num_inference_steps=25, guidance_scale=7.5).images[0]
image.save("output.png")

WebUI (AUTOMATIC1111, ComfyUI, etc.)

Download the pytorch_lora_weights_webui.safetensors file and place it in your WebUI's LoRA directory. Use the trigger word porous in your prompts.

Training Details

• Base model: stabilityai/stable-diffusion-xl-base-1.0
• Training steps: 1000
• Learning rate: 0.0001
• Batch size: 1
• LoRA rank: 16
• Trigger word: porous