๐งฌ ChatGPT_RissCore_Jules_v1.0
Type: Character LoRA
Base Model: SDXL 1.0
Version: v1.0
Recommended Weight: 0.85 โ 1.0
Trigger Word: chatgpt_risscore_jules
๐ Description
ChatGPT_RissCore_Jules_v1.0 is a clean, stable SDXL character LoRA focused on realistic facial structure, natural skin texture, and calm emotional presence.
This model was trained as a neutral character core, designed to stay flexible across prompts while maintaining a consistent identity.
It does not overpower styles, making it ideal as a foundation for cinematic looks, portrait photography, and stackable workflows.
The strength of this LoRA lies in restraint: believable skin, expressive eyes, and a grounded, adult presence without exaggerated stylization.
โจ Key Features
realistic skin texture with visible pores
symmetrical, natural facial proportions
expressive eyes with calm emotional depth
stable results in close-ups and portraits
highly compatible with style and environment LoRAs
SFW-first, NSFW only if prompted explicitly
๐ Trigger Words
Use one trigger only:
chatgpt_risscore_jules
๐งพ Example Prompt (SFW)
(masterpiece, best quality, ultra realistic, raw photo),
chatgpt_risscore_jules,
adult woman,
natural skin texture, visible pores,
symmetrical face, expressive eyes,
subtle emotion, calm confidence,
cinematic soft lighting,
85mm lens look, shallow depth of field,
professional photography
๐ฌ Cinematic Add-On (optional)
cinematic lighting, cool rim light,
dark blurred background,
replicant aesthetic,
high contrast, sharp focus on eyes
๐ซ Negative Prompt (recommended)
anime, cartoon, illustration,
overprocessed skin, plastic skin,
bad anatomy, extra fingers,
distorted face, low quality, blurry
โ๏ธ Recommended Settings
Sampler: DPM++ 2M Karras
Steps: 28โ32
CFG: 5.5 โ 7
Resolution: 1024ร1024 or 832ร1216
VAE: SDXL default
๐ท๏ธ Tags
character
woman
realistic
photorealistic
sdxl
portrait
cinematic
๐ Notes
This LoRA is intended as a core character model, not a stylized or effect-heavy preset.
For best results, combine it with lighting, clothing, or environment LoRAs rather than stacking multiple character LoRAs.








