# FLUX.2 Dev Download Guide: Weights, Access, and Local Setup > Published 2026-04-02, updated 2026-09-05 · https://www.promptzone.com/thandi_fischer/flux2-ai-powerful-image-generation-model-unveiled-1mib --- title: "FLUX.2 Dev Download Guide: Weights, Access, and Local Setup" published: true description: "Download FLUX.2 dev from its official repository, choose a compatible runtime, and distinguish local weights from hosted FLUX.2 services." tags: ai,imagegeneration,comfyui,flux --- Download FLUX.2 dev from Black Forest Labs’ official Hugging Face repository after accepting its access conditions. It is a model for generating and editing images, with local deployment routes through BFL’s reference code, Diffusers, and ComfyUI. [Official download][weights], [Deployment guide][deployment], [Model card][card] Downloading dev gives you access to that checkpoint under its model license; BFL’s pro and flex services have separate hosted access paths. [Release][launch] ## What are the key facts about downloading FLUX.2 dev? | Field | Verified detail | | --- | --- | | Developer | Black Forest Labs. [Release][launch] | | Released | November 25, 2025. [Release][launch] | | Type | Rectified-flow image model for generation, editing, and combining references. [Model card][card] | | Size or parameters | 32 billion for the image transformer. [Model card][card] | | License and access | Downloadable weights under the FLUX dev non-commercial license, with separate commercial licensing. [License][license], [Release][launch] | | Where it runs | BFL reference code, Diffusers, and ComfyUI; hosted dev providers are also listed by BFL. [Model card][card], [Release][launch] | ## Which FLUX.2 dev deployment files should you choose? The dev checkpoint combines text-to-image generation and reference editing. Its card describes using character, object, and style references without additional fine-tuning. [Model card][card] That gives a local evaluation a useful scope: test both making a new image and adapting an existing one before choosing a training workflow. Keep the same visual requirements when comparing those approaches. BFL publishes a reference implementation alongside deployment examples. Its Diffusers guide includes configurations for quantized inference and CPU offloading, making the runtime choice part of the installation decision. [Deployment guide][deployment] For a team, record that choice before downloading files. A ComfyUI graph and a Diffusers pipeline may expect differently packaged components even when they implement the same named model. [ComfyUI guide][comfy], [Deployment guide][deployment] For the details of its component architecture, see the sibling [FLUX.2 architecture guide](/arlo_girard/flux-2-unveiled-faster-ai-image-generation-4lip). ## What are the access and licensing limits of FLUX.2 dev? The model license distinguishes using weights from using generated outputs. BFL’s dev card says outputs may be used commercially as described in the license; this is not a blanket commercial license for the model itself. [Model card][card], [License][license] Read the terms applicable to your intended deployment before offering a model-backed service. The release announcement points to a separate commercial licensing route. [Release][launch] Download size and runtime memory are different planning questions. BFL’s deployment guide documents quantized components and offloading rather than presenting a single hardware requirement for all installations. [Deployment guide][deployment] One documented option uses a remote text encoder. In that configuration, prompts are sent to the encoder service even though the image transformer runs locally. [Deployment guide][deployment] If keeping prompt processing on your machine is a requirement, select the documented configuration that also loads the text encoder locally. Verify the full pipeline instead of deciding from the image checkpoint alone. The original reference implementation was tested in a specific Python and CUDA environment listed in its README. Treat that as implementation context, not evidence that every platform has the same setup path. [Repository][repo] ## How do you download FLUX.2 dev and start a local runtime? Choose the ComfyUI tutorial for a node workflow or BFL’s Diffusers guide for a Python pipeline. Read that runtime’s file and dependency instructions before downloading. [ComfyUI guide][comfy], [Deployment guide][deployment] For original weights, open the [official FLUX.2 dev repository][weights] on Hugging Face and accept its access conditions. BFL’s deployment instructions require this step before authenticated downloads. [Deployment guide][deployment] Install the Hugging Face CLI and authenticate with an account that has access. Its documentation supports previewing a download and choosing a destination directory. [CLI guide][cli] ```bash pip install -U huggingface_hub hf auth login hf download black-forest-labs/FLUX.2-dev --local-dir ./models/flux2-dev --dry-run hf download black-forest-labs/FLUX.2-dev --local-dir ./models/flux2-dev ``` The final command downloads the repository into the chosen folder. Run it only after inspecting the preview and deciding that you need the repository contents for your implementation. [CLI guide][cli] If the runtime guide names a different quantized package or selected files, follow that route instead. For example, ComfyUI’s tutorial lists split diffusion, text-encoder, and VAE files. [ComfyUI guide][comfy] Create a short installation note containing the source repository, selected files, runtime, package versions, and download destination. Add the relevant model license to that record so deployment decisions remain attached to the artifacts. For BFL’s reference implementation, follow its local installation section from a checkout of the official repository. The README documents optional model-path variables and automatic downloads when they are absent. [Repository][repo] Once that environment is installed, its interactive CLI is launched from the repository root with: [Repository][repo] ```bash PYTHONPATH=src python scripts/cli.py ``` For a Python application, use the matching Diffusers example. BFL’s guide supplies separate configurations for different memory arrangements. [Deployment guide][deployment] The sibling [ComfyUI installation walkthrough](/arlo_girard/flux-2-unveiled-faster-ai-image-generation-in-comfyui-39jh) provides the graph route. Use it if your immediate goal is a first image from the published template. Before adding custom adapters, keep a baseline prompt and output from the unmodified setup. Record what was loaded successfully so later experiments have a known working reference. If a download fails, distinguish account access from a missing file or an incomplete transfer. Check the repository in the browser with the same account before changing runtime code. If generation fails after files are present, record the actual error and selected configuration. Compare it to the implementation guide; file availability alone does not establish that the pipeline fits your machine. ## How do FLUX.2 dev downloads compare with other access options? | Option | Download and access distinction | | --- | --- | | FLUX.2 dev | Downloadable 32B image transformer under a non-commercial model license. [Model card][card] | | Klein 4B | A different BFL generation/editing model with Apache 2.0 weights. [Klein card][klein] | | FLUX.2 pro or flex | BFL provides hosted API and Playground access, without an open-weight download for those variants. [Release][launch] | Choose according to deployment needs, license, and the outputs you obtain on your own tasks. The comparison describes access models, not an independently measured quality ranking. The [ComfyUI pillar](/tomas_novak/comfyui-2026-the-complete-guide-to-power-user-ai-image-generation-1g17) offers background for managing local workflows and their model components. ## What else should you know before downloading FLUX.2 dev? ### Where should I download FLUX.2 dev? Download FLUX.2 dev from Black Forest Labs’ official Hugging Face repository or a runtime-specific package linked by its deployment documentation. Complete the original repository’s access conditions before authenticated downloads. [Official download][weights], [Deployment guide][deployment] ### Is FLUX.2 dev Apache 2.0? FLUX.2 dev image-model weights use BFL’s non-commercial model license. Check the selected artifact’s license because other FLUX.2 components and variants have different terms. [License][license], [Repository][repo] ### Does downloading FLUX.2 dev include pro access? Downloading FLUX.2 dev provides the dev checkpoint; BFL lists hosted FLUX.2 pro access separately. Select the intended endpoint or local checkpoint when configuring an application. [Release][launch] ### Is every local FLUX.2 dev configuration fully offline? BFL documents a FLUX.2 dev configuration that sends prompts to a remote text encoder. Select a pipeline that loads its text encoder locally if prompt processing must stay on your machine. [Deployment guide][deployment] ## Sources - [FLUX.2 launch and access paths][launch] - [Official FLUX.2 reference implementation][repo] - [Official FLUX.2 dev model card][card] - [FLUX.2 dev weight license][license] - [BFL Diffusers installation guide][deployment] - [ComfyUI component downloads][comfy] - [Hugging Face download and authentication CLI][cli] - [Klein 4B model card][klein] - [Official FLUX.2 dev weight repository and access conditions][weights] [launch]: https://bfl.ai/blog/flux-2 [repo]: https://github.com/black-forest-labs/flux2 [card]: https://github.com/black-forest-labs/flux2/blob/main/model_cards/FLUX.2-dev.md [license]: https://github.com/black-forest-labs/flux2/blob/main/model_licenses/LICENSE-FLUX-DEV [deployment]: https://github.com/black-forest-labs/flux2/blob/main/docs/flux2_dev_hf.md [comfy]: https://docs.comfy.org/tutorials/flux/flux-2-dev [cli]: https://huggingface.co/docs/huggingface_hub/guides/cli [klein]: https://huggingface.co/black-forest-labs/FLUX.2-klein-4B [weights]: https://huggingface.co/black-forest-labs/FLUX.2-dev ## Related guides on PromptZone - [Realistic Photos with FLUX](/stabletom/realistic-photos-with-flux-57aa) - [Best SDXL Models in 2026](/tara_suzuki/best-sdxl-models-in-2026-realistic-anime-and-all-purpose-checkpoints-116)