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Flat Colour Anime

1.3k
13.8k
371k
507
Updated: Nov 15, 2024
styleanimeflat colorsflat colorstyles
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Verified:
SafeTensor
Type
LoRA
Stats
2,939
3,750
Reviews
(248)
Published
Sep 13, 2024
Base Model
Flux.1 D
Training
Steps: 4,500
Usage Tips
Strength: 1
Trigger Words
Flat colour anime style image showing
Hash
AutoV2
638111365C
default creator card background decoration
Flux Training Contest Winner
CrasH's Avatar
CrasH
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.
ComfyUI_temp_toyth_00019_.png
ComfyUI_temp_toyth_00048_.png
ComfyUI_temp_toyth_00040_.png
ComfyUI_temp_toyth_00062_.png
ComfyUI_temp_xolgg_00008_.png
ComfyUI_temp_xolgg_00001_.png
ComfyUI_temp_xolgg_00019_.png
ComfyUI_temp_nijrn_00008_.png
ComfyUI_temp_sxuuv_00033_.png
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ComfyUI_temp_pxggy_00036_.png
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ComfyUI_temp_pxggy_00029_.png
ComfyUI_temp_maaca_00004_.png
ComfyUI_temp_ukrdn_00034_.png
ComfyUI_temp_vzzit_00001_.png
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Flat Colour Anime!

A vibrant anime style trained using a high quality dataset captioned in natural language. This is my labour of love and I'm constantly working on improving it.

Please consider following to be notified on updates to this style and many more interesting styles I create ❤️

Important notes below! Please read

Keywords:

Check the version details on the right for the correct trigger words for your version. Currently these are:

  • "Flat colour anime style image showing" for Flux Dev and Schnell

  • "fca_style" for Pony

  • "fca style" for SDXL

If you don't use the keyword, you won't get the most out of the style.

Version Key:

✅ Current

⛔️ Deprecated

Select the relevant version for your model from the top.

Update notes for version 3.4:

  • Now available for both Flux Dev and Schnell

  • Longer training time with a lower learning rate

  • Trained at 1024px vs 512px

  • Improved dataset quality

  • Added regularisation images to the dataset