language:
- en
pipeline_tag: text-to-image
library_name: diffusers
tags:
- text-to-image
- stable-diffusion
- safetensors
- stable-diffusion-xl
- merge
license: openrail++
RealCore Illustrious 1.0
RealCore Illustrious is a merged Illustrious checkpoint built from multiple models and LoRAs, designed to deliver stunning results in realistic and photo-realistic styles. Fully supports NSFW generation and integrates seamlessly with LCM acceleration.
- π·Realistic & photo-realistic rendering
- πComplex multi-model merge with LoRAs
- β‘Excellent LCM compatibility
- πNSFW supported
RealCore Illustrious 1.0
SDXL Merge | Base: IllustriousA merged Illustrious checkpoint built from multiple models and LoRAs, designed to deliver stunning results in realistic and photo-realistic styles. Fully supports NSFW generation and integrates seamlessly with LCM acceleration.
- π· Realistic & photo-realistic rendering
- π Complex multi-model merge with LoRAs
- β‘ Excellent LCM compatibility
- π NSFW supported
RealCore Pony 1.0
SDXL Merge | Base: Pony_Diffusion_V6_XLA merged Pony Diffusion V6 checkpoint built from multiple models and LoRAs, designed to deliver stunning results in realistic styles. Fully supports NSFW generation and integrates seamlessly with LCM acceleration.
- π· Realistic & photo rendering
- π Complex multi-model merge with LoRAs
- β‘ Excellent LCM compatibility
- π NSFW supported
RealCore XL 1.0
SDXL Merge | Base: SDXL 1.0A merged Stable Diffusion XL checkpoint built from multiple models and LoRAs, designed to deliver stunning results in realistic and amateur photo styles. Fully supports NSFW generation and integrates seamlessly with LCM acceleration.
- π· Realistic & amateur photo rendering
- π Complex multi-model merge with LoRAs
- β‘ Excellent LCM compatibility
- π NSFW supported
π§© Model Overview
RealCore Illustrious is a diffusion-based Illustrious checkpoint obtained through a complex merging process of multiple realistic models combined with several custom LoRAs. It produces highly detailed, lifelike, and emotionally grounded results β especially suited for realistic, photo-realistic, nsfw, and professional photo compositions.
- Type: SDXL Merge
- Base: Illustrious
- Supports: Realistic / Photo-realistic / NSFW
- Optimized for: ComfyUI + LCM
βοΈ ComfyUI Workflows
| Workflow | Description | Link |
|---|---|---|
| LCM DMD2 | Optimized for fast inference with LCM acceleration | Download LCM DMD2 Workflow |
π§ Prompting
For example prompts, styles, and tag guidance β please check π RealCore Illustrious on CivitAI
π§Ύ Checkpoint Recipe
RealCore Illustrious Beta Recipe
version 0.1.0
model "illustrious\\cyberrealistic_v70.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "illustrious\\goddessOfRealism_gorV6ilxlVAE.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "illustrious\\damnIllustriousPony_v50IllustriousNoobai.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "illustrious\\truespectraStudio_v10.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "π¨_weight_sum_with_json" &0 &1 &2 &3 json_params="{
\"global\": \"1.000,0.000,0.000,0.000\",
\"CLIP_L\": \"0.250,0.250,0.250,0.250\",
\"CLIP_G\": \"0.250,0.250,0.250,0.250\",
\"time_embed\": \"0.250,0.250,0.250,0.250\",
\"label_emb\": \"0.250,0.250,0.250,0.250\"
}"
merge "geometric_median" &0 &1 &2 &3 eps=1e-06 maxiter=100 ftol=1e-20
literal 1.0 model_config="sdxl-sgm" merge_space="param"
merge "pick_component" &6 "clip_l"
merge "pick_component" &6 "clip_g"
merge "fallback" &7 &8
literal 0.0 model_config="sdxl-sgm" merge_space="param"
merge "pick_component" &10 "vae"
merge "fallback" &9 &11
merge "pick_component" &10 "diffuser"
merge "fallback" &12 &13
merge "weighted_sum" &0 &5 &14
literal 0.5 model_config="sdxl-sgm" merge_space="param"
merge "pick_component" &16 "clip_l"
merge "pick_component" &16 "clip_g"
merge "fallback" &17 &18
merge "fallback" &19 &11
merge "fallback" &20 &13
merge "crossover" &4 &15 &21 0.5
model "illustrious\\fantasticReality_10.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "illustrious\\illustriousXL_v01.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "illustrious\\realcosplay1024px_realcosplayV10Illust.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "subtract" &25 &24
model "illustrious\\realcosplay1536px_v21.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "subtract" &27 &24
model "illustrious\\illustriousCSG_unrealengineILProV1.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "subtract" &29 &24
model "illustrious\\illustriousFacial_v20.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "subtract" &31 &24
merge "geometric_median" &26 &28 &30 &32 eps=1e-06 maxiter=100 ftol=1e-20
merge "add_difference" &24 &33 1.0
merge "fallback" &34 &24
model "illustrious\\realistic\\Realim_Lora_BSY_IL_V1_RA42.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
merge "convert_'sdxl-kohya_kohya_lora'_to_base" &36
merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &37
model "illustrious\\realistic\\Realistic_furry.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
merge "convert_'sdxl-kohya_kohya_lora'_to_base" &39
merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &40
model "illustrious\\realistic\\ScreencUp.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
merge "convert_'sdxl-kohya_kohya_lora'_to_base" &42
merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &43
merge "π¨_ties_lora_with_json" &38 &41 &44 json_params="{
\"lambda\": 1,
\"weights\": \"0.500,0.500,0.500\",
\"density\": 0.4,
\"vote_sgn\": true,
\"apply_stock\": false,
\"apply_median\": true
}"
merge "add_difference" &35 &45 1.0
merge "fallback" &46 &35
merge "crossover" &23 &47 0.66 1.0
merge "π¨_karcher_mean_with_json" &0 &1 &3 json_params="{
\"global\": \"0.382,0.382,0.236\",
\"max_iter\": 30,
\"tol\": 3e-7
}"
model "illustrious\\realistic\\ALTGRL(CYBERILL).safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
merge "convert_'sdxl-kohya_kohya_lora'_to_base" &50
merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &51
model "illustrious\\realistic\\RSGRL-REALLUXURA(10_10_25).safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
merge "convert_'sdxl-kohya_kohya_lora'_to_base" &53
merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &54
model "illustrious\\realistic\\KRGRLv2-000003.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
merge "convert_'sdxl-kohya_kohya_lora'_to_base" &56
merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &57
merge "π¨_ties_lora_with_json" &52 &55 &58 json_params="{
\"lambda\": 1,
\"weights\": \"0.500,0.500,0.200\",
\"density\": 0.5,
\"vote_sgn\": true,
\"apply_stock\": false,
\"apply_median\": true
}"
merge "add_difference" &49 &59 1.0
merge "fallback" &60 &49
merge "π¨_karcher_mean_with_json" &22 &48 &61 &2 json_params="{
\"global\": \"0.000,0.260,0.460,0.280\",
\"max_iter\": 30,
\"tol\": 3e-7,
\"OUT04\": \"0.000,0.157,0.375,0.468\",
\"OUT05\": \"0.000,0.157,0.375,0.468\",
\"OUT06\": \"0.000,0.157,0.375,0.468\",
\"IN\": \"0.000,0.230,0.477,0.294\",
\"OUT\": \"0.000,0.273,0.312,0.415\",
\"CLIP_L\": \"0.364,0.091,0.273,0.273\",
\"CLIP_G\": \"0.364,0.091,0.273,0.273\"
}"
model "illustrious\\realistic\\FLMGR-IL.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
merge "convert_'sdxl-kohya_kohya_lora'_to_base" &63
merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &64
dict BASE=0.0 IN00=0.0 IN01=0.0 IN02=0.0 IN03=0.0 IN04=0.0 IN05=0.0 IN06=0.0 IN07=0.0 IN08=0.0 M00=0.0 OUT00=0.0 OUT01=0.0 OUT02=0.15 OUT03=0.3 OUT04=0.4 OUT05=0.5 OUT06=0.3 OUT07=0.15 OUT08=0.0 VAE=0.0
literal &66 model_config="sdxl-supermerger_blocks" merge_space="param"
merge "convert_sdxl_blocks_to_sgm" &67
merge "add_difference" &62 &65 &68
merge "fallback" &69 &62
RealCore Illustrious v10 Recipe
version 0.1.0
model "ritya\\RealCore_Illustrious_beta.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "illustrious\\cyberrealistic_v70.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "illustrious\\damnIllustriousPony_v50IllustriousNoobai.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "π¨_karcher_mean_with_json" &0 &1 &2 json_params="{
\"global\": \"1.000,0.000,0.000\",
\"max_iter\": 50,
\"tol\": 1e-7,
\"IN00\": \"0.143,0.429,0.429\",
\"IN01\": \"0.189,0.406,0.406\",
\"IN02\": \"0.211,0.395,0.395\",
\"IN03\": \"0.250,0.375,0.375\",
\"IN04\": \"0.311,0.345,0.345\",
\"IN06\": \"0.360,0.320,0.320\",
\"IN07\": \"0.390,0.305,0.305\",
\"IN08\": \"0.399,0.301,0.301\",
\"IN\": \"0.333,0.333,0.333\"
}"