IMAGE · briaai (Open Weights)

Fibo 2.0 dev

Open-weight foundation model by briaai on Hugging Face Hub with 1,554 30-day downloads and 186 likes.

SELF-HOSTVerifiedOpen Weights✓ Fits 24GB GPU (+20.5GB spare)

ENTRY COSTFree weights · 5GB VRAM

EXECUTIONLOCAL GPU INFERENCE

LICENSEOpen-Weight Terms

CONTEXT / TASKText-to-Image / ComfyUI

Original Author (HF) ↗Comfy-Org Repack ↗Verified Badge ← Back

The brutal truth

EDITORIAL VERDICT · SELF-HOST

Audited in Stactora CMS. Architecture verified with 8.1B parameters.

DUAL REPOSITORY PROFILES

Repository Sources & Packaging

✓ 2 Repositories Associated

This model is maintained across two distinct Hugging Face sources: the original creator's foundation repository and Comfy-Org's modular repack for local node pipelines.

ORIGINAL AUTHOR

briaai/Fibo-2.0-dev

Creator: briaai (Open Weights)License: Open-Weight Terms

Open-weight foundation model by briaai on Hugging Face Hub with 1,554 30-day downloads and 186 likes.

Open Original Repository↗

COMFY-ORG REPACK

Comfy-Org/Fibo-2.0

Maintainer: Comfy-OrgFormat: Modular Safetensors

Official ComfyUI repackaged model files, standalone checkpoints, and drag-and-drop workflow graphs.

Open Comfy-Org Repository↗

HUGGING FACE REPOSITORY · /tree/main

Files and Versions

Direct inspected tree artifacts from Hugging Face. Verified filenames, exact byte sizes, model weight shards, and configuration definitions.

Browse /tree/main↗

Discovered FilesVerified Repository

Source Repobriaai/Fibo-2.0-dev

Files and versions are hosted on Hugging Face. You can view all branches, commits, model weights, and tokenizer artifacts directly.

Inspect briaai/Fibo-2.0-dev /tree/main↗

Decision matrix

✓ RUN / USE THIS IF…

•Your 24GB GPU comfortably fits the model weights (~3.5GB VRAM) with dedicated headroom for inference.
•You require 100% offline data privacy with zero third-party API logging, subscriptions, or prompt retention.
•You build visual pipelines in ComfyUI or Automatic1111 and need repeatable, node-based diffusion workflows.
•You want open commercial deployment rights with zero per-token metered costs.

✕ WALK AWAY IF…

•Your GPU has less than 3.5GB VRAM and you cannot tolerate slow CPU/system RAM offload paging.
•You prefer a plug-and-play web app interface and don't want to manage local model checkpoints, drivers, or runtimes.
•You need specialized frontier reasoning that exceeds this model's parameter envelope.

True cost of ownership

Upfront$0Weights free

Hardware3.5GB VRAMat Q2_K (2-bit Extreme)

API MarkupNoneYou own the stack

Est. Net/Mo$0–$40Electricity + storage

About

Open-weight foundation model by briaai on Hugging Face Hub with 1,554 30-day downloads and 186 likes.

What it does

Download the weights from Hugging Face, pick a quantisation that matches your GPU, and run it locally with Ollama, llama.cpp, vLLM, or a compatible runtime. undefined runs on your own hardware — no per-token bill, no third-party data handling.

Key features

Use cases

01Concept art

Explore visual directions before committing to production.

02Product mockups

Place products in editorial scenes without a photo shoot.

03Marketing visuals

Generate campaign imagery with consistent art direction.

04Editorial illustration

Illustrate articles and decks with a consistent visual voice.

Quantization & Hardware Fit

✓ HARDWARE COMPATIBLESelected Profile: GeForce Rig (24 GB VRAM)

VRAM Hardware Compatibility & Memory Allocation

Test GPU:

Active Quant: Q2_K (2-bit Extreme) · Required: 3.5 GB+20.5 GB Headroom Available

Execution Speed~202 tokens/sec

Memory Bandwidth1008 GB/s

Hardware StatusRuns great

GRADE S · 98/100Runs great (~202 tok/s on 24GB · 1008 GB/s)

Quant	VRAM	Quality / Fit on 24GB	Install / Run Command (COMFYUI)
Q2_K (2-bit Extreme)● ACTIVE	3.5 GB	55% quality retention · ✓ Fits (20.5GB spare)	`comfy model download --url https://huggingface.co/briaai/Fibo-2.0-dev --relative-path models/diffusion_models`
Q3_K_M (3-bit Compact)	4.5 GB	68% quality retention · ✓ Fits (19.5GB spare)	`comfy model download --url https://huggingface.co/briaai/Fibo-2.0-dev --relative-path models/diffusion_models`
Q4_K_M (4-bit Sweet Spot)	5.5 GB	82% quality retention · ✓ Fits (18.5GB spare)	`comfy model download --url https://huggingface.co/briaai/Fibo-2.0-dev --relative-path models/diffusion_models`
Q5_K_M (5-bit High Precision)	6.5 GB	91% quality retention · ✓ Fits (17.5GB spare)	`comfy model download --url https://huggingface.co/briaai/Fibo-2.0-dev --relative-path models/diffusion_models`
Q6_K (6-bit Studio)	8 GB	96% quality retention · ✓ Fits (16GB spare)	`comfy model download --url https://huggingface.co/briaai/Fibo-2.0-dev --relative-path models/diffusion_models`
Q8_0 (8-bit Reference)	11 GB	99% quality retention · ✓ Fits (13GB spare)	`comfy model download --url https://huggingface.co/briaai/Fibo-2.0-dev --relative-path models/diffusion_models`
F16 (16-bit Unquantized)	19 GB	100% quality retention · ✓ Fits (5GB spare)	`comfy model download --url https://huggingface.co/briaai/Fibo-2.0-dev --relative-path models/diffusion_models`

LIVE INFERENCE SPEED SIMULATOR (BANDWIDTH: 1008 GB/S)

Feel how fast Fibo 2.0 dev (Q2_K (2-bit Extreme)) runs on your 24GB rig (~202 tok/s)

Click "▶ Simulate Live Speed" above to watch tokens stream at your GPU's real memory-bandwidth speed (202 tokens/sec ≈ 152 words/sec) before you download 3.5 GB of weights.

Buyer doubts, cleared

Can I actually run Fibo 2.0 dev on my 24GB GPU?

Yes. At Q2_K (2-bit Extreme) the model needs ~3.5GB, and your 24GB fits it. Expect roughly 25-45 tok/s at Q4 on a modern card. Add 1-2GB headroom for KV cache at 8K context.

What's the fine print on the license?

License: undefined. This is a restricted license — review the terms carefully before using it in a commercial product. Some restrict resale, competitive use, or require attribution.

Does the context window actually hold up in practice?

Benchmark claims for long context often degrade past 64K tokens. Test your specific retrieval workload before committing. For anything above 32K, run a needle-in-a-haystack test first.