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runchat/
lora-7a7c886b-a2be-4fcb-8ab8-d96271ba873d-je51ot

Name: lora-7a7c886b-a2be-4fcb-8ab8-d96271ba873d-je51ot
Availability: InStock

stabilityai/stable-diffusion-xl-base-1.0

adapter

openrail++

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SDXL LoRA: Oyster2

This is a LoRA (Low-Rank Adaptation) model for Stable Diffusion XL fine-tuned on images with the trigger word Oyster2.

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

python

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-7a7c886b-a2be-4fcb-8ab8-d96271ba873d-je51ot", weight_name="pytorch_lora_weights.safetensors")
pipe = pipe.to("cuda")

# Generate image
prompt = "a photo of Oyster2 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 Oyster2 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: Oyster2