license: mit
language:
- en
pipeline_tag: text-to-image
quantized_by: PP12546
tags: - stablediffusion
- uncensored
- nsfw
- image
- generation
- quantized
- safetensor
base_model: - Heartsync/NSFW-Uncensored
NSFW-Uncensored——一个无审查的图像生成模型
Uncensored Image Generation Model
Model Description
This model is a playground that minimizes censorship restrictions, allowing exploration of the technical possibilities of AI-based image generation. Through various prompts, you can test censorship boundaries and verify the actual performance of image generation AI.
Example code
# Basic usage example
from diffusers import DiffusionPipeline
import torch
# Load the model (with float16 precision for GPU)
pipe = DiffusionPipeline.from_pretrained(
"Heartsync/NSFW-Uncensored",
torch_dtype=torch.float16
)
pipe.to("cuda") # Move to GPU
# Generate an image with a simple prompt
prompt = "Woman in an elegant dress standing by a window, detailed lighting, 8k"
negative_prompt = "low quality, blurry, deformed"
# Create the image
image = pipe(
prompt=prompt,
negative_prompt=negative_prompt,
num_inference_steps=30,
guidance_scale=7.5
).images[0]
# Save the image
image.save("generated_image.png")
# Advanced example - fixed seed and additional parameters
import numpy as np
# Set seed for reproducible results
seed = 42
generator = torch.Generator("cuda").manual_seed(seed)
# Advanced parameter settings
prompt = "A dramatic scene with explicit details, cinematic lighting, high resolution"
image = pipe(
prompt=prompt,
negative_prompt="ugly, deformed, disfigured, poor quality, low resolution",
num_inference_steps=50, # More steps for higher quality
guidance_scale=8.0, # Increase prompt fidelity
width=768, # Adjust image width
height=768, # Adjust image height
generator=generator # Fixed seed
).images[0]
image.save("high_quality_image.png")