Model reference · open weights

Flux

Image StableDiffusionVN Text→image 1 build Open weights 1k dl/mo

Flux is an open-weight image model from StableDiffusionVN. Flux (BF16) weighs 16.3 GB; the smallest configuration that runs it is RTX 4090 24 GB.

  • Flux is a text-to-image model published by StableDiffusionVN under the identifier StableDiffusionVN/Flux.
  • It operates with English language support and is distributed under the apache-2.0 licence.
  • The model card provides links to Comfy workflows for text-to-image, image-to-image, and inpainting tasks, as well as resources for LoRA training and testing.

Summary of the StableDiffusionVN/Flux model card, 2026-10-01

What it is

Released byStableDiffusionVN
Released2024-08-04
VRAM16.3 GB for the weights

What it runs on

Memory and cards for Flux (BF16)

16.3 GBweights, file size
5.0 GBworking memory, one 1024² image
537 MBruntime overhead
CardOne imageMemory
RTX 3060 12 GB … RTX 4060 Ti 16 GBdoes not fit
RTX 3090 24 GBtight23.4 GB
RTX 4090 24 GBtight23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What StableDiffusionVN says about Flux

Read the model card

Youtube:

Colab:

Colab Training Lora: Comfy Workflow:

=> Text-img

=> Img-img

=> Inpaint

=> Schnell Text-img

=> Schnell Text-img-upscale

=> Lora Tester

=> Lora Text to img

=> Lora Text to img Upscale

=> Schnell Lora Text to img

=> Union Controlnet

=> Hyper 8Steps Lora Upscale

Comfy Node:

  • Comfy NF4 Support: https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4

  • Comfy GGUF Support: https://github.com/city96/ComfyUI-GGUF

  • Comfy Instant Union Controlnet Support: https://github.com/EeroHeikkinen/ComfyUI-eesahesNodes

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour. ComfyUI is installed on it. Open ComfyUI through the tunnel and load the workflow from the model's card on Hugging Face. Its model loader takes .safetensors files: replace it with Unet Loader (GGUF) and choose this model's file there.

# on your rented machine (the ssh line is on its page in the console)
# the GGUF loader nodes, once per machine
git clone https://github.com/city96/ComfyUI-GGUF /opt/ComfyUI/custom_nodes/ComfyUI-GGUF
pip install -r /opt/ComfyUI/custom_nodes/ComfyUI-GGUF/requirements.txt

# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }

# the model (24.0 GB)
get StableDiffusionVN/Flux Checkpoint/Flux_schnell_v1-fp8.safetensors diffusion_models
get StableDiffusionVN/Flux Clip/t5-v1_1-xxl-encoder-Q4_K_S.gguf unet
get StableDiffusionVN/Flux Clip/t5xxl_fp8_e4m3fn.safetensors text_encoders
get StableDiffusionVN/Flux Vae/flux_vae.safetensors vae
get StableDiffusionVN/Flux Redux/sigclip_vision_patch14_384.safetensors clip_vision

start-comfyui
Renting a GPU: connect, tunnels, ComfyUI
# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST and PORT are your machine's, from its page in the console
ssh -L 8188:localhost:8188 dev@HOST -p PORT
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