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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.
Training datasets are generated via Nano Banana Pro/2.
In one word: This is an anime2real Flux.2 Klein model specialized in converting anime-style characters into realistic human appearances.
Limitation & Balance: While the model excels at "Anime to Real" conversion, maintaining 100% character consistency can be challenging. Anime proportions are naturally unrealistic; thus, the model prioritizes anatomical realism over strict feature duplication to deliver better photographic results.
Trigger word: A2R
Strength: 0.9 (better finger & toes)
Example:
A2R, Raw smartphone photography, candid aesthetic, significant image noise, heavy grain. No UI elements. Reduce head size.
keep all the elements and same perspective and camera angle, pose and characters positions, remake exactly this frame but into Amateur smartphone snapshot taken with iPhone 16 Pro front camera, raw unedited photo, sharp photo, detailed skin texture, flawless skin, fair skin, white pale skin, skindentation.TODOs:
Fix upside-down / reversed face generation.
Enhance low-light & night view rendering.
Optimize finger / toes anatomy.
Changelog:
v1 (38 images 2500 steps)
Initial Experimental Training: Baseline model trained using 38 high-quality, curated sets of image pairs generated via Nano Banana Pro / 2.
Core Alignment: Focused on establishing the foundational mapping from anime stylistic features to photographic human skin textures and facial anatomy.
Proportion Correction: Introduced basic logic to downscale non-human head sizes and correct dramatic anime expressions into natural, realistic equivalents.
v2 (80 images 8000 steps)
Dataset Expansion: Extended the training library with an additional 42 complex image sets, focusing on higher diversity and varied lighting conditions.
Improved Aspect Ratio Support: Upgraded the bucket training to natively support multiple image ratios (portrait, landscape, and square) without stretching or blurring.
Enhanced Environmental Physics: Integrated specific night views and challenging dark-tone scenarios to improve shadow transitions and low-light skin reflections.