Instructions to use WRATHGODDESS/Bebetang_Style_Anima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WRATHGODDESS/Bebetang_Style_Anima with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("duongve/AnimaYume", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WRATHGODDESS/Bebetang_Style_Anima") prompt = "<lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/05809-3668663295-_lora_BebetangAnima.V2.0TH_trained_1.4_, BT™️,
_1girl, medium breasts, bikini, smug, selfie, beach, cameltoe, covered
nipples,.png
text: '<lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️, '
parameters:
negative_prompt: >-
worst quality, low quality, blurry, jpeg artifacts, lowres, stomach
bulge, two-tone hair, mosaic censoring, censored, bar censor,
monochrome, greyscale,
- output:
url: >-
images/05829-2015873910-_lora_BebetangAnima.V2.0TH_trained_1.4_, BT™️,
_1girl, huge breasts, bikini, smug, beach, cameltoe, covered nipples,
long hair,.png
text: '<lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️, '
parameters:
negative_prompt: >-
worst quality, low quality, blurry, jpeg artifacts, lowres, stomach
bulge, two-tone hair, mosaic censoring, censored, bar censor,
monochrome, greyscale,
- output:
url: >-
images/05831-4023871018-_lora_BebetangAnima.V2.0TH_trained_1.4_, BT™️,
_1girl, small breasts, bikini, smug, beach, cameltoe, covered nipples,
long hair,.png
text: '<lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️, '
parameters:
negative_prompt: >-
worst quality, low quality, blurry, jpeg artifacts, lowres, stomach
bulge, two-tone hair, mosaic censoring, censored, bar censor,
monochrome, greyscale,
- output:
url: >-
images/05832-1429910589-_lora_BebetangAnima.V2.0TH_trained_1.4_, BT™️,
_1girl, medium breasts, bikini, smug, beach, cameltoe, covered nipples,
long hair.png
text: '<lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️, '
parameters:
negative_prompt: >-
worst quality, low quality, blurry, jpeg artifacts, lowres, stomach
bulge, two-tone hair, mosaic censoring, censored, bar censor,
monochrome, greyscale,
- output:
url: >-
images/05833-1622218192-_lora_BebetangAnima.V2.0TH_trained_1.4_, BT™️,
_1girl, flat chest, bikini, smug, beach, cameltoe, covered nipples, long
hair,.png
text: '<lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️, '
parameters:
negative_prompt: >-
worst quality, low quality, blurry, jpeg artifacts, lowres, stomach
bulge, two-tone hair, mosaic censoring, censored, bar censor,
monochrome, greyscale,
base_model: duongve/AnimaYume
instance_prompt: null
Bebetang

- Prompt
- <lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️,
- Negative Prompt
- worst quality, low quality, blurry, jpeg artifacts, lowres, stomach bulge, two-tone hair, mosaic censoring, censored, bar censor, monochrome, greyscale,

- Prompt
- <lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️,
- Negative Prompt
- worst quality, low quality, blurry, jpeg artifacts, lowres, stomach bulge, two-tone hair, mosaic censoring, censored, bar censor, monochrome, greyscale,

- Prompt
- <lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️,
- Negative Prompt
- worst quality, low quality, blurry, jpeg artifacts, lowres, stomach bulge, two-tone hair, mosaic censoring, censored, bar censor, monochrome, greyscale,

- Prompt
- <lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️,
- Negative Prompt
- worst quality, low quality, blurry, jpeg artifacts, lowres, stomach bulge, two-tone hair, mosaic censoring, censored, bar censor, monochrome, greyscale,

- Prompt
- <lora:BebetangAnima.V2.0TH_trained:1.4>, BT™️,
- Negative Prompt
- worst quality, low quality, blurry, jpeg artifacts, lowres, stomach bulge, two-tone hair, mosaic censoring, censored, bar censor, monochrome, greyscale,
Model description
Download model
Download them in the Files & versions tab.





