black-forest-labs_FLUX.1-dev
black-forest-labs · View on Hugging Face ↗
Model card
The complete upstream card, rendered from this payload's README.md — the same hash-verified bytes the torrent distributes. Images and off-site links are removed; the original card on Hugging Face carries them.
language:
- en license: other license_name: flux-1-dev-non-commercial-license license_link: LICENSE.md extra_gated_prompt: By clicking "Agree", you agree to the FluxDev Non-Commercial License Agreement and acknowledge the Acceptable Use Policy. tags:
- text-to-image
- image-generation
- flux
FLUX.1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.
For more information, please read our blog post.
Key Features
- Cutting-edge output quality, second only to our state-of-the-art model
FLUX.1 [pro]. - Competitive prompt following, matching the performance of closed source alternatives .
- Trained using guidance distillation, making
FLUX.1 [dev]more efficient. - Open weights to drive new scientific research, and empower artists to develop innovative workflows.
- Generated outputs can be used for personal, scientific, and commercial purposes as described in the
FLUX.1 [dev]Non-Commercial License.
Usage
We provide a reference implementation of FLUX.1 [dev], as well as sampling code, in a dedicated github repository.
Developers and creatives looking to build on top of FLUX.1 [dev] are encouraged to use this as a starting point.
API Endpoints
The FLUX.1 models are also available via API from the following sources
- bfl.ml (currently
FLUX.1 [pro]) - replicate.com
- fal.ai
- mystic.ai
ComfyUI
FLUX.1 [dev] is also available in Comfy UI for local inference with a node-based workflow.
Diffusers
To use FLUX.1 [dev] with the 🧨 diffusers python library, first install or upgrade diffusers
pip install -U diffusers
Then you can use FluxPipeline to run the model
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
prompt = "A cat holding a sign that says hello world"
image = pipe(
prompt,
height=1024,
width=1024,
guidance_scale=3.5,
num_inference_steps=50,
max_sequence_length=512,
generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("flux-dev.png")
To learn more check out the diffusers documentation
Limitations
- This model is not intended or able to provide factual information.
- As a statistical model this checkpoint might amplify existing societal biases.
- The model may fail to generate output that matches the prompts.
- Prompt following is heavily influenced by the prompting-style.
Out-of-Scope Use
The model and its derivatives may not be used
- In any way that violates any applicable national, federal, state, local or international law or regulation.
- For the purpose of exploiting, harming or attempting to exploit or harm minors in any way; including but not limited to the solicitation, creation, acquisition, or dissemination of child exploitative content.
- To generate or disseminate verifiably false information and/or content with the purpose of harming others.
- To generate or disseminate personal identifiable information that can be used to harm an individual.
- To harass, abuse, threaten, stalk, or bully individuals or groups of individuals.
- To create non-consensual nudity or illegal pornographic content.
- For fully automated decision making that adversely impacts an individual's legal rights or otherwise creates or modifies a binding, enforceable obligation.
- Generating or facilitating large-scale disinformation campaigns.
License
This model falls under the FLUX.1 [dev] Non-Commercial License.
Magnet link
Opens the swarm directly in your torrent client — no file download needed. Copy-paste works too:
magnet:?xt=urn:btih:b5606c83d341a0f684dcb1fa68636daef0a81fbd&dn=black-forest-labs_FLUX.1-devOpen magnet in torrent client · infohash b5606c83d341a0f684dcb1fa68636daef0a81fbd
Files & hashes
| Path | Size | sha1 | sha256 |
|---|---|---|---|
| LICENSE.md | 18.2 KB (18,621 B) | 763a44c31c02064a8388981040487ce8731ddc86 | 6f7b3d94ddd94380a4dc2d1211ed57883d320dea96f4393b34d4a454041029e1 |
| README.md | 4.3 KB (4,394 B) | 6089463168e2a87d86f76a6abd7a35f1c791022d | efaf627d78af42f5ff92ec6c05551237c6939dbc1a8ee83910b9b5c7340d34cf |
| ae.safetensors | 319.8 MB (335,304,388 B) | 95e36a32f0e2368fc24023b11c776d22c158855e | afc8e28272cd15db3919bacdb6918ce9c1ed22e96cb12c4d5ed0fba823529e38 |
| dev_grid.jpg | 1.2 MB (1,301,528 B) | 1f1a09351f8ea56d8ecd74a4fa523d68e347e379 | 37a587d0ff3d9dda0d8ab59d65342c0242ffb909573d8d998d599e3401d3d7e9 |
| flux1-dev.safetensors | 22.17 GB (23,802,932,552 B) | e8ed05bffaf79370aaa8ab974482d0b9c1dae39d | 4610115bb0c89560703c892c59ac2742fa821e60ef5871b33493ba544683abd7 |
| model_index.json | 536 B (536 B) | f2dcd899e03be059304cc980a87bb9389008ba2f | 24946df21ff25e210486b5f6b14208983a90c9c73f8d48cfa724c0e4e03f7201 |
| scheduler/scheduler_config.json | 273 B (273 B) | a64d1e8763bef5828984682680673fb97829734b | 63b6d2fa93579e383a308009bfd5ae12e61f8950017dd749302f8d54bb3520b6 |
| text_encoder/config.json | 613 B (613 B) | 5ebd923ce51522c605f64ab3d26ea024672777b6 | d79d5c8c6ce85112a923d621a5412886ddbbb0636210fc0f72f450582e675542 |
| text_encoder/model.safetensors | 234.7 MB (246,144,352 B) | a0333e58716ab750e45b8c0451e15166aa171b35 | 893d67a23f4693ed42cdab4cbad7fe3e727cf59609c40da28a46b5470f9ed082 |
| text_encoder_2/config.json | 782 B (782 B) | b00a8a6908682a2091f1194b81f220fd2b67c41c | 9001e5a8ae0571a362f806b87b6105dd1a15c33dca237b606d2561164109beeb |
| text_encoder_2/model-00001-of-00002.safetensors | 4.65 GB (4,994,582,224 B) | 425ba28604cb5fe79e70a650b37391cabf35d56e | ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e |
| text_encoder_2/model-00002-of-00002.safetensors | 4.22 GB (4,530,066,360 B) | d3e1d573aa443a7995074096906d35020d409b89 | a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 |
| text_encoder_2/model.safetensors.index.json | 19.4 KB (19,885 B) | c8728bc3dca59d2616a2a594cbac3ddb9eb77d5b | 3bacec0f0cf392399d4a385908f67dd73df99c9e9cfee669f148858ba9fbdb0a |
| tokenizer/merges.txt | 512.3 KB (524,619 B) | 76e821f1b6f0a9709293c3b6b51ed90980b3166b | 9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a |
| tokenizer/special_tokens_map.json | 588 B (588 B) | cf0682d6de72c1547f41b4f6d7c59f62deffef94 | 2cdb3b8331a60c92fc1e55a13e9fd61fd2293c5a51275fdcccd62b780052530e |
| tokenizer/tokenizer_config.json | 705 B (705 B) | 180a4e1be2a7d0b38a44108d6f24f585f35147b1 | 6bdcee9ccce2a16ca2b4c0c5ed00b42c50ea225f4472a8c4c1e963a2902c2881 |
| tokenizer/vocab.json | 1.0 MB (1,059,962 B) | 469be27c5c010538f845f518c4f5e8574c78f7c8 | e089ad92ba36837a0d31433e555c8f45fe601ab5c221d4f607ded32d9f7a4349 |
| tokenizer_2/special_tokens_map.json | 2.5 KB (2,543 B) | 17ade346a1042cbe0c1436f5bedcbd85c099d582 | 7a1985a994c41886db38c719d2a3d2f40606663cc19d7c5d6a85d349320e06d2 |
| tokenizer_2/spiece.model | 773.1 KB (791,656 B) | 5f05e7c57adf916bdba74912b0b37dea5c585988 | d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86 |
| tokenizer_2/tokenizer.json | 2.3 MB (2,424,235 B) | 21ed409afa3df5a822caa0fd5da30d13941f90b5 | f5dfec163765e18e270537fe896c49f5fad74db1525641d9b255a3008b999596 |
| tokenizer_2/tokenizer_config.json | 20.3 KB (20,817 B) | b336fa236135e6c87e246485e4d69e415cc57da0 | 1a3d2db64215ed77854dd4208aac5f8361c1b5471cabd19c0ef1472d1a895eb0 |
| transformer/config.json | 378 B (378 B) | dbb93438161bb7fbfdcbd8fabf2b67654a38be38 | 4f601e115ed85ab891646f03d17dca39d61278eca4b618e8c642cad71495fee8 |
| transformer/diffusion_pytorch_model-00001-of-00003.safetensors | 9.30 GB (9,983,040,304 B) | fcc0052571ec168be8859e9c878e8538a00e9d41 | d86a3038eacaa720682cb9b1da3c49fecf8a3ded605af4def6061eaa18903eb8 |
| transformer/diffusion_pytorch_model-00002-of-00003.safetensors | 9.27 GB (9,949,328,904 B) | 8a3bd284cfab06e84cf25d2ae099d7ded6d9ecf5 | 5e830704a83aa938dfaf23da308100a1c44b83fa084283abf1d163ea727e5f7a |
| transformer/diffusion_pytorch_model-00003-of-00003.safetensors | 3.60 GB (3,870,584,832 B) | 55b902a5d34c65e71a67198589542e1743f97e68 | 0d9c7c663217d1c3d44a6deed4e1cf1ac09fbc2c4137c47de1e3d74c959833de |
| transformer/diffusion_pytorch_model.safetensors.index.json | 118.4 KB (121,262 B) | a7b03767f2395865d98ad50c6e8234f3726af8c0 | 780ee2abafdd8abcb64d97be0154f1481f51e3cce1899fbad98723e4fb6c15e0 |
| vae/config.json | 820 B (820 B) | 4f7c628fc8e59fc842c9846ed74414249052ba0b | ad6f0acb584ceb3d136d1e32b684dec65db24bffe9223df2bac0b45539d4e6b5 |
| vae/diffusion_pytorch_model.safetensors | 159.9 MB (167,666,902 B) | 1eb8410f0c0120aff9f9101b64cea0801a1e1dde | f5b59a26851551b67ae1fe58d32e76486e1e812def4696a4bea97f16604d40a3 |
Cite this release
- Canonical URL
- https://aiseedbank.org/models/black-forest-labs_FLUX.1-dev/
- Slug
- black-forest-labs_FLUX.1-dev
- Infohash
- b5606c83d341a0f684dcb1fa68636daef0a81fbd
- License
- custom/other license
- Signing key fingerprint
- 85a3b32c3712427b
Every file carries a locally computed sha256 — verify a download against the signed sums: black-forest-labs_FLUX.1-dev.SHA256SUMS (+ minisign signature).
Provenance
| Upstream repository | black-forest-labs/FLUX.1-dev |
|---|---|
| Revision (pinned) | 3de623fc3c33e44ffbe2bad470d0f45bccf2eb21 |
| Fetched at | 2026-09-04T07:05:02Z |
| License at fetch | other |
| Snapshot tool | huggingface · seedbank 0.1.0 |
Trackers
- udp://announce.aitorrent.org:6969/announce
- http://announce.aitorrent.org:7070/announce
- udp://announce2.aitorrent.org:6970/announce
- http://announce2.aitorrent.org:7071/announce
- udp://tracker.opentrackr.org:1337/announce
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- udp://open.stealth.si:80/announce
- udp://exodus.desync.com:6969/announce
- udp://tracker.torrent.eu.org:451/announce
✓ verified · rehash-vs-hf-metadata at 2026-09-04T07:15:33Z
custom/other license53.91 GB (57,885,945,035 bytes)diffuserssafetensorstext-to-imageimage-generationfluxendpoints_compatiblediffusers:FluxPipeline1 language (en)