Flux-uncensored - AI Image Models Tool

Overview

Flux-uncensored is a text-to-image diffusion model published on Hugging Face by enhanceaiteam. It is implemented on top of the Stable Diffusion pipeline and integrates LoRA adapters and the fluxpipeline to produce images from textual prompts. The model is explicitly tagged as "Not-For-All-Audiences," meaning it may generate sensitive or mature content and should be used with appropriate caution and compliance with the model's license and platform rules. Designed for creators who need an expressive, prompt-driven image generator, Flux-uncensored is typically used to produce stylized or photorealistic outputs depending on prompt detail and any applied LoRA weights. The model page shows modest community engagement (1,768 downloads and 415 likes at the time of writing), but the model card does not publish standard quantitative image-quality benchmarks or parameter counts. Users should consult the Hugging Face model card and license (creativeml-openrail-m) for permitted use cases and content restrictions before deploying the model in production.

Model Statistics

• Downloads: 1,768
• Likes: 415
• Pipeline: text-to-image

License: creativeml-openrail-m

Model Details

Architecture and base: Flux-uncensored leverages the Stable Diffusion text-to-image pipeline and lists black-forest-labs/FLUX.1-dev as its base model. The model card indicates use of LoRA (Low-Rank Adaptation) adapters to modify or extend the base model's behavior and mentions a "fluxpipeline" integration for generation workflows. Technical specifics available from the model page: pipeline type is text-to-image; license is creativeml-openrail-m; community metrics on Hugging Face show 1,768 downloads and 415 likes. The model card does not publish parameter counts, FLOPs, or formal benchmark scores (FID, IS), so those details remain unknown. The model is flagged Not-For-All-Audiences on Hugging Face and may therefore require acceptance of usage constraints or age gating on the platform. For the authoritative source and the most up-to-date details, see the Hugging Face model page: https://huggingface.co/enhanceaiteam/Flux-uncensored.

Key Features

• Text-to-image generation using the Stable Diffusion pipeline
• Integrates LoRA adapters for targeted style or subject adjustments
• Uses a "fluxpipeline" workflow for generation orchestration
• Flagged Not-For-All-Audiences; may generate sensitive or mature content
• Hosted on Hugging Face with community metrics (downloads and likes)

Example Usage

Example (python):

from diffusers import StableDiffusionPipeline
import torch

# Note: follow the Hugging Face model card and license before using this model.
# If the model requires access permission, ensure your HF token is configured.
model_id = "enhanceaiteam/Flux-uncensored"

# Load the pipeline (device and auth token may be required)
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")  # or "cpu" if no GPU available

prompt = "A cinematic portrait of a cyberpunk city at dusk, neon reflections, highly detailed"
with torch.autocast("cuda"):
    image = pipe(prompt, guidance_scale=7.5, num_inference_steps=30).images[0]

# Save result
image.save("flux_uncensored_output.png")

# Important: respect the model's "Not-For-All-Audiences" flag and license restrictions.

Benchmarks

Hugging Face downloads: 1,768 (Source: https://huggingface.co/enhanceaiteam/Flux-uncensored)

Hugging Face likes: 415 (Source: https://huggingface.co/enhanceaiteam/Flux-uncensored)

Pipeline: text-to-image (Stable Diffusion) (Source: https://huggingface.co/enhanceaiteam/Flux-uncensored)

Key Information

• Category: Image Models
• Type: AI Image Models Tool