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Yet Another Watercolor Style

128

Updated: Dec 16, 2024

stylewatercolorartwomangirlspainting

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1 variant available

SafeTensor

54.88 MB

Verified:

Type

LoRA

Stats

193

0

Reviews

Published

Nov 23, 2024

Base Model

Flux.1 D

Hash

AutoV2
9BAFFFEB38

Trigger Words

yawc1 watercolor

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.

Yet another watercolor style, trained using synthetic images generated with SDXL and SDXL Niji SE. The goal of the LoRA is flexibility, so that it can be used with other LoRAs without introducing too much of its own aesthetics.

Known problem with the two earlier versions: the face is always Caucasian. The problem has been fixed by mixing in images of Asians.

All versions work well (no captioned version seems a bit more flexible though), and can produce nice images at 8 steps with https://civitai.com/models/686704/flux-dev-to-schnell-4-step-lora

(Seems to work a bit less well with https://civitai.com/models/678829/schnell-lora-for-flux1-d, but the tests are not conclusive)

The last epochs are posted here. You can find earlier epochs here:

tensor. art/models/799475546439540972/YAWC-Watercolor-5CosD4A2R20NoC-2024-11-23-22:59:14-Ep-9

tensor. art/models/799093298644978244/YAWC-Watercolor-5CosD6A3R20NoC-2024-11-22-23:12:45-Ep-9

tensor. art/models/798371619585168991/YAWC-Watercolor-5CosD4A2R20E8-2024-11-21-00:29:10-Ep-8

tensor. art/models/798765094424184653/YAWC-Watercolor-5CosD4A2R20Cap-2024-11-21-02:52:27-Ep-8

Training parameters:

23 to 26 512x512 (downscaled from 1024x1024) images, captioned with Florence2 or by using "no captioning" training with just the trigger "yawc1 watercolor".

FLUX.1 - dev-fp8

Trigger: yawc1 watercolor

Repeat: 20 Epoch: 8 or 9 epochs.

Unet LR: 0.0005 Scheduler: cosine Optimizer: AdamW/AdamW8bit

Network Dim: 4 Alpha 2 or Dim 6 Alpha 3