How to Run Flux Uncensored Locally in 2026 (CHROMA Setup Guide)
Step-by-step guide to running Flux uncensored on your own PC using CHROMA. Covers Forge and ComfyUI setup, model downloads, VRAM requirements, and LoRA compatibility — completely offline and private.
Why CHROMA, Not Base Flux?
Base Flux (dev/schnell) is "lightly" censored. It was trained on filtered data, so it struggles with anatomy, explicit content, and certain body compositions. You can force it with LoRAs, but results are inconsistent.
CHROMA is a community fork that solves this:
- Censorship training removed
- Anatomical accuracy improved
- Same Flux architecture = same LoRA compatibility
- Near-identical quality to base Flux
- Open weights, free to download
If you want to run "Flux uncensored" locally — CHROMA is what you're looking for.
Requirements
| Component | Minimum | Recommended |
|---|---|---|
| GPU VRAM | 8 GB (quantized only) | 12-16 GB+ |
| RAM | 16 GB | 32 GB |
| Storage | 25 GB free | 50 GB+ |
| GPU Brand | NVIDIA recommended. AMD guide here. | |
Best cards: RTX 3060 12GB (budget), RTX 4070 Ti Super (mid-range), RTX 4090 (best). Full GPU comparison here.
Option A: Forge Setup (Easiest)
Forge is a fork of AUTOMATIC1111 with native Flux/CHROMA support. Simplest path for most users.
Step 1: Install Forge
- Install Python 3.10.x and Git
- Clone Forge:
git clone https://github.com/lllyasviel/stable-diffusion-webui-forge - Run
webui.bat(Windows) orwebui.sh(Linux/Mac) - Wait for first-time setup to complete (installs dependencies)
Step 2: Download CHROMA
- Download CHROMA model from HuggingFace (search "CHROMA flux")
- Place the model file in
models/Stable-diffusion/ - Also download the CLIP and VAE files if not bundled
Step 3: Configure
- Restart Forge
- Select CHROMA from the model dropdown
- Set resolution to 1024×1024 (Flux native resolution)
- Use 20-30 steps, CFG 1.0 (Flux models use low CFG)
- Generate
Common issues: CUDA out of memory → enable --medvram flag. Black images → wrong VAE. Slow first generation → model loading into VRAM (normal).
Option B: ComfyUI Setup (More Control)
ComfyUI gives you more flexibility but requires learning the node-based interface.
Step 1: Install ComfyUI
- Download the standalone package from ComfyUI releases (no Python required)
- Or clone from GitHub and set up manually with Python 3.10+
Step 2: Add CHROMA Model
- Place CHROMA model in
ComfyUI/models/diffusion_models/ - Place CLIP models in
ComfyUI/models/text_encoders/ - Place VAE in
ComfyUI/models/vae/
Step 3: Load Workflow
- Find a CHROMA workflow JSON on CivitAI or the ComfyUI community
- Drag-and-drop the JSON into ComfyUI
- Update file paths if needed
- Click "Queue Prompt" to generate
Not sure which UI? See our ComfyUI vs Forge comparison.
Using LoRAs With CHROMA
CHROMA is architecturally compatible with Flux, so existing Flux LoRAs work. This gives you access to a growing library of style, character, and concept LoRAs:
- Download Flux LoRAs from CivitAI or HuggingFace
- Place in your
models/Lora/folder - Apply in Forge with the LoRA tab, or wire into ComfyUI workflow
- Start with LoRA weight 0.7-1.0 and adjust
For more on LoRAs: Complete LoRA, Checkpoint & Embeddings Guide
Low VRAM? Quantized Options
If you're on 8 GB VRAM, you can run quantized versions of CHROMA:
- FP8: ~50% smaller, minimal quality loss. Best compromise.
- NF4: ~75% smaller, noticeable quality reduction. For 6-8 GB cards.
- Alternative: Use SDXL or Pony V6 instead — better experience on low VRAM. Low VRAM optimization guide
Privacy Note
When you run CHROMA locally, your prompts never leave your computer. No telemetry, no cloud calls, no logging. Unlike cloud services that store every prompt, local generation means absolute privacy.
This is especially important for uncensored content — you don't want your prompts on someone else's server. Learn more about AI privacy.
Bottom Line
Running Flux uncensored locally is absolutely possible in 2026 — CHROMA is the model you want. The manual setup takes 2-4 hours if you're comfortable with Python and Git.
If you'd rather skip the setup entirely: LocalForge AI gives you a private offline setup with everything already configured for $50, one-time. Under 10 minutes from download to generating.