How to Use

This model can be used with any standard SDXL-compatible interface or library (e.g., Diffusers, Stable Diffusion WEBUI, ComfyUI).

Recommended Settings

For optimal results, we recommend the following inference parameters:

Sampler: Euler or Euler A
Scheduler: Normal or Beta
Steps: 16-24
CFG Scale: 3-6
Resolution:
For general use: 832x1200 (or similar aspect ratios with a total area around 1024x1024)
For V9.1 (if applicable): Can natively handle 1536x resolutions.

Example Usage (Python with Diffusers)

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained(
"VelvetToroyashi/WahtasticMerge",
torch_dtype=torch.float16,
variant="fp16",
use_safetensors=True
).to("cuda")

prompt = "a majestic fantasy landscape, vibrant colors, epic, detailed, masterpiece"
negative_prompt = "low quality, bad anatomy, deformed, ugly, distorted"

image = pipeline(
prompt=prompt,
negative_prompt=negative_prompt,
num_inference_steps=20,
guidance_scale=5,
height=1200,
width=832
).images[0]

image.save("wahtastic_image.png")

Model Details

Base Model: noobai-XL-Vpred-1.0
Merge Strategy: Various models were merged to combine their strengths, followed by extensive additional training.
Training Goal: Improve aesthetic quality, prompt adherence, and general versatility for SDXL generations.
Model Type: Diffusion-based text-to-image generative model.

License

This model is subject to the license of its base model, noobai-XL-Vpred-1.0, which adheres to the Fair AI Public License 1.0 - SD. Please review the original license for full terms and conditions regarding usage, including commercial use and derivative works.