Loaded
Download
1 variant available
240 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
40 1 2 3 4 5 6 7 8 9
1000 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
(1)
Oct 19, 2026
Flux.2 Klein 9B-base

590 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
1030 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
2800 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
Here are the results from tests run on raw, unquantized weights.
No compression, no compromisesjust pure density and rendering depth.
These images are "straight off the assembly line," with no post-processing in Capture One. The entire pipeline and logic are baked directly into the preview workflow.
Generation parameters:Resolution: 2048 × 2048 (4 true megapixels)Grid step: 128Steps: 65CFG: 3.5Sampler: UniPCScheduler: SGM UniformTraining:
The model was trained on a custom dataset (768×768) using proprietary memory management and training optimization code, written from scratch.
Want to train at the same speed with zero OOM (Out of Memory) errors? Head over to my GitHubthe toolkit is already available in the repository.
In a few hours, I’ll be releasing an update that adds support for new training modes. Stay tuned for more drops, and let me know in the comments which styles or datasets you’d like to see me run next!
https://github.com/OrakulStudio/AI-Toolkit-Windows11



