Image models ·

Fibo 2.0 Dev

Backbone
8.1B
Native output
1024×1024
Default steps
50
License
bria-fibo
Released
2026-10

How to run it

Original weights · Hugging Face

Full-precision files from Bria AI, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/briaai/Fibo-2.0-dev (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

Apps that run Fibo 2.0 Dev

Our pick for each kind of computer, assuming the model fits in its memory. Pick your own GPU or device in the Model Finder for an exact answer.

Mac (Apple silicon)

ComfyUI

Runs this model with built-in or popular custom nodes; GGUF files load with ComfyUI-GGUF.

Also good:

Windows PC, NVIDIA GPU

ComfyUI

Runs this model with built-in or popular custom nodes; GGUF files load with ComfyUI-GGUF.

Also good:

Linux, NVIDIA or AMD GPU

ComfyUI

Runs this model with built-in or popular custom nodes; GGUF files load with ComfyUI-GGUF.

Also good:

App Type Opens it as Systems Engine Start
ComfyUI Desktop app Built-in support macOSWindowsLinux PyTorch, GGUF via ComfyUI-GGUF Get ComfyUI
SwarmUI Desktop app Built-in support macOSWindowsLinux ComfyUI Get SwarmUI
SD.Next Desktop app Built-in support macOSWindowsLinux PyTorch Get SD.Next
Stability Matrix Desktop app Built-in support macOSWindowsLinux installs ComfyUI, Forge, InvokeAI, SwarmUI, SD.Next or Fooocus Get Stability Matrix

Which apps can open a model depends on the files published for it: GGUF for llama.cpp-based apps, MLX for Apple’s engine, the original weights for vLLM and SGLang. Compare every app.

Memory needed

Peak GPU memory at the native output size. Offloading moves the text encoder, or the whole pipeline, to system RAM between steps.

Precision Everything on GPU Text encoder offloaded Sequential offload Download
FP16 27.7 GB 18.9 GB 8.1 GB Original weights (opens in a new tab)

Components

Best hardware for Fibo 2.0 Dev

The least expensive GPU in our catalog that runs it without offloading is the Intel Arc B570 (launch price $219) at FP16.

Quality Hardware Quant Memory Speed Runs
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5090 Founders EditionNVIDIA GeForce RTX 5090 FP16 27.7 GB / 32.0 GB 19 s Runs welltight fit
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4090 Founders EditionNVIDIA GeForce RTX 4090 FP16 18.9 GB / 24.0 GB 24 s Runs wellencoder in RAM
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. Sapphire NITRO+ AMD Radeon RX 7900 XTX Vapor-X 24GBAMD Radeon RX 7900 XTX FP16 18.9 GB / 24.0 GB 26 s Runs wellencoder in RAM
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell Workstation EditionNVIDIA RTX PRO 6000 Blackwell FP16 27.7 GB / 96.0 GB 16 s Runs well
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. Sapphire NITRO+ AMD Radeon RX 9070 XT OCAMD Radeon RX 9070 XT FP16 8.1 GB / 16.0 GB 39 s Runs wellCPU offload
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5080 Founders EditionNVIDIA GeForce RTX 5080 FP16 8.1 GB / 16.0 GB 39 s Runs wellCPU offload
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA A100 40GBNVIDIA A100 40GB FP16 27.7 GB / 40.0 GB 23 s Runs well
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA L40SNVIDIA L40S FP16 27.7 GB / 48.0 GB 21 s Runs well
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX 6000 Ada GenerationNVIDIA RTX 6000 Ada Generation FP16 27.7 GB / 48.0 GB 21 s Runs well
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA L40NVIDIA L40 FP16 27.7 GB / 48.0 GB 21 s Runs well

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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