# FLUX.1 Krea dev Download Guide: Weights and Access Options > Published 2026-04-04, updated 2026-09-05 ยท https://www.promptzone.com/meera_mensah/flux-krea-fast-ai-image-generator-32np --- title: "FLUX.1 Krea dev Download Guide: Weights and Access Options" published: true description: "Download FLUX.1 Krea dev from its official repository, understand the weight license, and choose between local and hosted access." tags: ai,imagegeneration,tutorial,models --- Download FLUX.1 Krea dev from Black Forest Labs' official Hugging Face repository after accepting its access conditions. This text-to-image model was developed with Krea, and its weights use the FLUX.1 dev non-commercial license. [1], [2], [4] The companion [Krea configuration guide](/wiebke_chakraborty/flux-krea-ai-image-config-breakthrough-hkl) covers sampling settings after installation. ## What are the key facts about the FLUX.1 Krea dev download? | Fact | Verified detail | | --- | --- | | Developer | Krea and Black Forest Labs. [1] | | Released | July 31, 2025. [1] | | Type | Text-to-image rectified flow model, distilled from Krea 1. [1], [3] | | Size or parameters | 12 billion parameters. [3] | | License and access | Gated Hugging Face download under the FLUX.1 dev non-commercial license; commercial model use requires an appropriate license. [2], [4] | | Where it runs | Krea's reference Python implementation, ComfyUI, and Diffusers; BFL also names hosted API providers. [2], [3], [5] | ## Why download FLUX.1 Krea dev? Krea's technical report explains an aesthetic training objective: preserving stylistic variety while reducing visual traits such as overly soft textures. It describes supervised fine-tuning and preference training as parts of that work. [1] The release fits the original FLUX.1 dev architecture. That makes it a candidate for an existing compatible toolchain, and the model card explicitly lists both ComfyUI and Diffusers. [2] Krea also publishes inference code and a notebook. Those provide a useful reference when you want to inspect the entry point used to run a prompt instead of depending entirely on an application interface. [3] Use the [FLUX photography pillar](/stabletom/realistic-photos-with-flux-57aa) to develop the visual brief you will use for evaluation. Decide what you want to see before choosing a download format. ## What does the Krea dev download license allow? An open-weight release describes access to model files; it does not settle the permissions for every deployment. The repository's license grants non-commercial model use and separately addresses generated outputs. [4] Its output clause permits commercial uses subject to the agreement's restrictions. That clause should be read alongside the restrictions on running or adapting the model for commercial purposes. [4] For a planned service, write down what you intend to deploy and consult the relevant commercial licensing route. BFL's release announcement points to its licensing portal and lists hosted providers. [5] The model card identifies failures in prompt following and sensitivity to prompt style. It also warns that generated images do not supply factual information. [2] Make that distinction part of your first trial. A generated image of a device can be suitable for a fictional concept while failing a brief that requires the exact geometry of a real product. The diffusion weights are only one component in the documented ComfyUI setup. Its workflow also loads text encoders and a VAE, so downloading one file does not complete that installation. [6] ## How do you download the official FLUX.1 Krea dev weights? Open BFL's official `FLUX.1-Krea-dev` repository on Hugging Face. Sign in, review the displayed conditions, and accept them if they match your intended use; the repository gates file access behind that agreement. [2] Install the Hugging Face Hub CLI in your chosen Python environment. Its documented `hf auth login` command authenticates the account, and `hf download` can fetch a named file into a selected directory. [7] ```bash python -m pip install -U huggingface_hub hf auth login hf download black-forest-labs/FLUX.1-Krea-dev \ flux1-krea-dev.safetensors --local-dir ./krea-weights ``` The checkpoint filename comes from the official ComfyUI tutorial; the command structure comes from Hugging Face's CLI documentation. This downloads the diffusion weights, leaving application setup as a separate step. [6], [7] For ComfyUI, move the file into `models/diffusion_models` and follow the official workflow for the encoders and VAE. Use its supplied workflow to select the installed components before adding your own changes. [6] If you prefer the developer's Python implementation, clone Krea's official repository, install its requirements, and invoke its documented inference script. Run this in an environment with the required PyTorch support. [3] ```bash git clone https://github.com/krea-ai/flux-krea.git cd flux-krea python -m pip install -r requirements.txt python inference.py --prompt "A red canoe beside a quiet lake" --seed 42 ``` Krea notes that the first inference attempt may download model weights. The command above follows that repository's own loading workflow; it does not automatically select the separate ComfyUI download directory. [3] Treat your first run as an installation check. Confirm that the requested model loads and produces an image, then save the prompt and relevant settings with that result. If access fails, check the authenticated account and the repository agreement before changing inference settings. Hugging Face documents `hf auth whoami` for identifying the account used by the CLI. [7] For hosted access, start with providers linked by BFL rather than inferring a service from a similar product name. Check that the chosen endpoint explicitly identifies Krea dev and review that provider's current billing terms. [5] Keep download access, compute spending, and model licensing as separate entries in your project notes. This makes your intended access route clear when someone else needs to reproduce or maintain the workflow. ## How do local Krea dev, hosted access, and schnell compare? | Route | What you obtain | | --- | --- | | FLUX.1 Krea dev weights | A downloadable checkpoint with the repository's non-commercial model license. [2], [4] | | Hosted Krea dev endpoint | Remote inference through a provider named in BFL's release announcement. [5] | | FLUX.1 schnell | A different downloadable text-to-image checkpoint whose model card specifies Apache 2.0. [8] | Choose local Krea dev when its visual behavior and deployment conditions fit your project. Consider hosted access when you want to evaluate that model through a service, and schnell when its separate sampling recipe and license fit better. ## What should you know before downloading Krea dev? ### Where is the official FLUX.1 Krea dev download? The official FLUX.1 Krea dev download is in the `black-forest-labs/FLUX.1-Krea-dev` Hugging Face repository. Review and accept the repository conditions before requesting gated files. [2] ### Is FLUX.1 Krea dev licensed under Apache 2.0? FLUX.1 Krea dev weights use the FLUX.1 dev non-commercial license. FLUX.1 schnell is a separate model whose card specifies Apache 2.0. [4], [8] ### Can I sell images generated with Krea dev? The FLUX.1 Krea dev license permits commercial uses of generated outputs subject to its restrictions. Permission to operate the model commercially is a separate part of the agreement. [4] ### Do I need ComfyUI to run it? FLUX.1 Krea dev can run without ComfyUI: its model card supports Diffusers, and Krea publishes its own Python inference implementation. Choose a documented route and complete that route's dependencies. [2], [3] ## Sources - [Krea technical release report][1] - [Official Krea dev repository and model card][2] - [Krea reference inference repository][3] - [License distributed with the Krea checkpoint][4] - [BFL release and hosted access announcement][5] - [ComfyUI model files and installation workflow][6] - [Hugging Face CLI documentation][7] - [Official FLUX.1 schnell model card][8] [1]: https://www.krea.ai/blog/flux-krea-open-source-release [2]: https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev [3]: https://github.com/krea-ai/flux-krea [4]: https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev/blob/main/LICENSE.md [5]: https://bfl.ai/blog/flux-1-krea-dev [6]: https://docs.comfy.org/tutorials/flux/flux1-krea-dev [7]: https://huggingface.co/docs/huggingface_hub/guides/cli [8]: https://huggingface.co/black-forest-labs/FLUX.1-schnell ## 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)