Instructions to use Nerferens/Fan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nerferens/Fan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Nerferens/Fan") prompt = "make a delicate character" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Card_Model

- Prompt
- make a delicate character
Model description
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")
Trigger words
You should use At full blast to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Nerferens/Fan
Base model
Tongyi-MAI/Z-Image-Turbo