Model reference · open weights

flux-controlnet-collections

Available as managed deployment Licence fee Image XLabs-AI Text→image 1 variants 5k dl/mo

flux-controlnet-collections is an open-weight image model from XLabs-AI. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

MakerXLabs-AI
TypeImage models
TaskText→image
Runs withdiffusers
Released2024-08-13
Popularity5k downloads / month
LicenceCommercial licence needed

About

What flux-controlnet-collections is

This repository provides a collection of ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs

See our github for comfy ui workflows.

See our github for train script, train configs and demo script for inference.

Models

Our collection supports 3 models:

  • Canny
  • HED
  • Depth (Midas)

Each ControlNet is trained on 1024x1024 resolution and works for 1024x1024 resolution. We release v3 versions - better and realistic versions, which can be used directly in ComfyUI!

Please, see our ComfyUI custom nodes installation guide

Examples

See examples of our models results below. Also, some generation results with input images are provided in "Files and versions"

Inference

To try our models, you have 2 options:

  1. Use main.py from our official repo
  2. Use our custom nodes for ComfyUI and test it with provided workflows (check out folder /workflows)
  3. Use gradio demo

See examples how to launch our models:

Canny ControlNet (version 3)

  1. Clone our x-flux-comfyui custom nodes
  2. Launch ComfyUI
  3. Try our canny_workflow.json

Depth ControlNet (version 3)

  1. Clone our x-flux-comfyui custom nodes
  2. Launch ComfyUI
  3. Try our depth_workflow.json

HED ControlNet (version 3)

  1. Clone our x-flux-comfyui custom nodes
  2. Launch ComfyUI
  3. Try our hed_workflow.json

License

Our weights fall under the FLUX.1 [dev] Non-Commercial License

From the published model card. Full card on the HuggingFace links in the sidebar.

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.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys flux-controlnet-collections for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (flux-controlnet-collections below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"flux-controlnet-collections","prompt":"a red bicycle","size":"1024x1024"}'

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

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