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hugging_own_legs_v0.3.safetensors
9 MB · SafeTensor
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<hugging-own-legs>
About This Model
STABLE DIFFUSION 1.5 · LoRAs
Created by
psoft
on Civitai
Hugging own legs by psoft. LoRA trained to generate a character sitting while hugging their legs. I do realize some base models already understand the concept but don't tend get it right. This should help. There may still be small issues with mixed up limbs, but I can't fix all SD issues with a lora :) Trigger: hugging own legs
Creator notes
Support my work on and and get access to tutorials and exclusive models. Rate and leave a like if you enjoyed it, and follow for new models! LoRA trained to generate a character sitting while hugging their legs. I do realize some base models already understand the concept but don't tend get it right. This should help. There may still be small issues with mixed up limbs, but I can't fix all SD issues with a lora :) Trigger: hugging own legs You can adjust the lora weight depending on how well the base model is familiar with the concept.
Trigger words
hugging own legs
21,102 downloads · 2,630 likes on Civitai
SHA256
BD6BF288FEB99C5263D25F302BFCB45ABF9EE0431CB70568274D8C3AF67E1F63
ModelTrends.ai Model ID
#1809
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Example renders
Prompts and settings shared by the people who made these renders on Civitai. Pick a render to see how it was made.
Settings
Sampler
DPM++ 2M Karras
Steps
30
Guidance
7
Seed
884531015818115
Size
512x768
Prompt
(masterpiece, best quality, detailed, intricate, vibrant colors), (solo), (woman), frilled dress, corset, mischievous, smiling, looking at viewer, hugging own legs, outdoors, autumn, nature, trees, sunset, hat, falling leaves, autumn colors, jellyfishforest, <lora:hugging_own_legs_v0.3:0.4> <lora:JellyfishForest:0.8>
Negative prompt
(worst quality, low quality:1.2), text, font, logo, copyright, watermark, signature, monochrome, greyscale, embedding:bad-hands-5
Settings
Sampler
Euler a
Steps
20
Guidance
7
Seed
193871087
Size
512x768
Clip skip
2
Prompt
hugging own legs, <lora:hugging_own_legs_v0.3:1> <lora:sono-bisque_v4.0b:1> kitagawa marin, kitasch, socks, shoes,, masterpiece, best quality, highly detailed
Negative prompt
(worst quality, low quality:1.4)
Settings
Sampler
Euler a
Steps
20
Guidance
7
Seed
556629548
Size
512x768
Clip skip
2
Prompt
<lora:hugging_own_legs_v0.3:1> 1girl, hugging own legs, on floor, wet, wet clothes, wet floor, flood, long shirt, sneakers, drop shadow, <lora:basement_v0.2:1> basement,, masterpiece, best quality, highly detailed
Negative prompt
(worst quality, low quality:1.4)
Settings
Sampler
Euler a
Steps
20
Guidance
7
Seed
3784082226
Size
512x768
Clip skip
2
Prompt
<lora:hugging_own_legs_v0.3:1> 1girl, hugging own legs, partially submerged, day, blonde hair, elf, blue eyes, glowing,, masterpiece, best quality, highly detailed
Negative prompt
(worst quality, low quality:1.4)
Settings
Sampler
Euler a
Steps
20
Guidance
7
Seed
193871101
Size
512x768
Clip skip
2
Prompt
hugging own legs, <lora:hugging_own_legs_v0.3:1> <lora:hoshino_ai_v0.1a:1> hoshino ai, frilled dress, looking at viewer, stairs,, masterpiece, best quality, highly detailed
Negative prompt
(worst quality, low quality:1.4)
Settings
Sampler
Euler a
Steps
20
Guidance
7
Seed
2680017454
Size
512x768
Clip skip
2
Prompt
<lora:hugging_own_legs_v0.3:1> 1girl, hugging own legs, on bed, from side, looking away,, masterpiece, best quality, highly detailed
Negative prompt
(worst quality, low quality:1.4)
Settings
Sampler
Euler a
Steps
20
Guidance
7
Seed
2680017454
Size
512x768
Clip skip
2
Prompt
<lora:hugging_own_legs_v0.3:1> 1girl, hugging own legs, on floor, street, alley, from side, looking at viewer,, masterpiece, best quality, highly detailed
Negative prompt
(worst quality, low quality:1.4)
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hugging own legs on ModelTrends.ai: #59 of 2,241 Stable Diffusion 1.5 LoRAs
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hugging own legs is a LoRA for the Stable Diffusion 1.5 family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Stable Diffusion 1.5 models, check its heat score to see how it is trending, and open it on PirateDiffusion or BitVector to try it.
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