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Flux.2D Concept Art: Van Gogh (Rank 2048) x Aivazovsky (Rank 1536) [Full Weights 24GB]

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Type
LoRA
Stats

4

Reviews
Published

Sep 24, 2026

Base Model

Flux.2 D

Hash
AutoV2
8626E3AF1A
Trigger Words
r2048f2dvangog, r1536f2daivaz
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Uploads - 46

46

Followers - 94

94

Likes - 237

237

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.

Orakul Studio_1.png

Orakul Concept Art High-Rank Experimental Merge (24 GB)

EXPERIMENTAL FULL-SCALE MODEL RELEASE (24 GB) NO COMPRESSION OR QUANTIZATION.

This model is the result of research into the limits of neural network capacity and stylistic vector density.

🧬 Architecture and Creation History

Base Model: A Van Gogh vector retrained at an extreme Rank of 2048 (maximizing brushstroke detail and impasto texture).

Merge: To stabilize geometry and eliminate the hallucinations associated with a single Rank 2048 vector, it was merged with an Aivazovsky model at Rank 1536.

Result: The model’s geometry was "fixed," while it retained an extraordinary density of dry-brush strokes, dramatic fashion lighting, and the physics of a sea storm.

⚙️ Recommended Generation Settings

Sampler: UniPC

Scheduler: SGM Uniform

Steps: 35

Model Strength / Weight: 1.0

Workflow Note: Ideal for creating concept art, apparel prints (All-over print / DTG), and isolated fashion shots.

🔓 License and Rights (Open Permissions)

The model is released "As-Is" for research purposes:

Merges: Allowed without restriction. No prohibitions on weight blending experiment, create your own mixes and reboots.

Custom Use: Do whatever you like from rendering commercial merchandise collections to testing your own pipelines.

⏳ Note (Future Releases)

You are currently downloading the full 24 GB version with uncompressed weights. A "Distilled" optimized version lighter in size for faster generation and more efficient VRAM usage will be released soon.