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]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
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Model tree for WRATHGODDESS/Bebetang_Style_Anima
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima Finetuned
duongve/AnimaYume