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metadata
license: mit
library_name: diffusers
base_model:
  - black-forest-labs/FLUX.1-dev
tags:
  - uncensored

flux-uncensored

Summary

Flux base model merged with uncensored LoRA. This model is not for those looking for "safe" or watered-down outputs. It’s optimized for real-world use with fewer constraints.

Specs

  • Model: Flux base
  • LoRA: Uncensored version, merged directly

Usage

pretty straight forward plug-and-play model

from diffusers import FluxPipeline
import torch

pipe = FluxPipeline.from_pretrained("shauray/FLUX-UNCENSORED-merged", torch_dtype=torch.float16)
pipe.enable_model_cpu_offload()

prompt = "A mystic cat with a sign that says hello world!"
image = pipe(prompt, guidance_scale=3.5, num_inference_steps=28, generator=torch.manual_seed(0)).images[0]
image.save("flux-dev-loaded.png")

this README has what you'd need, it's a merge from Uncensored LoRA on CivitAI