import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("LyliaEngine/ilustmix_v50", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("LyliaEngine/split_tongue_IL-vpred_v11")
prompt = "1girl,open_mouth,(split_tongue:1.1),"
image = pipe(prompt).images[0]split_tongue
- Prompt
- 1girl,open_mouth,(split_tongue:1.1),
- Negative Prompt
- unaestheticXL2v10, negativeXL_D, censored, mosaic censorship, censor bar, sepia, sketch, bad eyes, heroin eyes, ugly face, mutated hands, low res, blurry face, watermark, text, sound_effects, signature, error, twitter_username, chromatic_aberration,
- Prompt
- 1girl,(split_tongue:1.3),tongue_out,fellatio_gesture,
- Negative Prompt
- unaestheticXL2v10, negativeXL_D, censored, mosaic censorship, censor bar, sepia, sketch, bad eyes, heroin eyes, ugly face, mutated hands, low res, blurry face, watermark, text, sound_effects, signature, error, twitter_username, chromatic_aberration,
- Prompt
- 1girl,open_mouth,(split_tongue:1.1),
- Negative Prompt
- unaestheticXL2v10, negativeXL_D, censored, mosaic censorship, censor bar, sepia, sketch, bad eyes, heroin eyes, ugly face, mutated hands, low res, blurry face, watermark, text, sound_effects, signature, error, twitter_username, chromatic_aberration,
Model description
This is NOT forked tongue.
Source
https://civitai.com/models/1154440/split-tongue
Credit
https://civitai.com/user/R_6283
Trigger words
You should use split_tongue to trigger the image generation.
You should use split tongue to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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