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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Painting[[:space:]]Tome[[:space:]]2[[:space:]]-[[:space:]]ZIT.png filter=lfs diff=lfs merge=lfs -text
+Pinup[[:space:]]Toon[[:space:]]-[[:space:]]ZIT[[:space:]]-[[:space:]]Bradhamel[[:space:]]art[[:space:]]style.png filter=lfs diff=lfs merge=lfs -text

1950's (Technicolor) v2.1 - ZIT.safetensors

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1950's (Technicolor) v2.1 - ZIT.txt

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+1950's (Technicolor) v2.1 - ZIT
+
+Technicolor style
+1950's
+1950's technicolor style
+cinematic technicolor style
+Kodachrome
+Kodachrome Technicolor

1950s Western Movies - ZIT - 50s_western.safetensors

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1980s Horror movies - ZIT.safetensors

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2000s Emo Scene Aesthetic - ZIT - rlyselfie.safetensors

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40s Technicolor Cyberpunk - ZIT - ArsMovieStill, movie still from a technicolor 1940s cyberpunk film.safetensors

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50s Noir Movie - ZIT - 50s Noir Movie Still.safetensors

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60s Psychedelic Movie - ZIT - ArsMovieStill, movie still from a 60s psychedelic movie.safetensors

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80s Fantasy Movie - ZIT - ArsMovieStill, 80s Fantasy Movie Still.safetensors

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AIM - Clear Anime v1.25 - ZIT - cl34ran1m3.safetensors

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Aesthetic Fashion - Noir Incantation - ZIT - AF_NoirIncantation.safetensors

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Anamorphic format cinematic film style v2.5 - ZIT - cinematic style,blur background,blurry background,Cinematic Anamorphic film style,shallow depth of field,bokeh.safetensors

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Better Sketches - ZIT - sketch,rough sketch,pen sketch.safetensors

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Charles Burns's Comic Style - ZIT.safetensors

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ChatGPT Style - ZIT - dpmpp & beta sampler.safetensors

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Chris Weston’s Comic Style - ZIT.safetensors

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Cinematic Portrait Lighting - ZIT - cinelightX.safetensors

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Detailed style - ZIT - detailed,cinematic realistic style,Sharp detailed high quality image.safetensors

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Fineart Nude - ZIT - cigene_fineartnudes,masterpiece,ultra detailed,fine art nude photography,glossy skin,dramatic studio lighting,perfect anatomy,sharp focus.safetensors

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HYPHORIA - Zimageturbo.safetensors

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Horror Noir Graphic Novel Style - ZIT.safetensors

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Intentional Decay - ZIT - DecayDaal.safetensors

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Kodachrome (Technicolor Process) -.txt

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+Kodachrome (Technicolor Process) - ZIT
+
+
+cinematic style
+cinematic Kodachrome Technicolor style
+Kodachrome style
+Technicolor style
+1950's style
+Technicolor Monopack style
+film color style
+cinematic photography style
+analog photography style
+cinematic film color style
+Eastman Kodak style
+K-14 process style

Kodachrome (Technicolor Process) v2.1 - ZIT.safetensors

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Leggins V Cut style - ZIT - vcutleggins.safetensors

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Ligne Claire Line Art Illustration v2 - ZIT.safetensors

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Luminous Ethereal Window Portrait - ZIT - NSFWLKH.safetensors

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Manga Style Kasetsu Makoto - ZIT.safetensors

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Nicolas de Crécy‘s Comic Style - ZIT.safetensors

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NijiReol Semi-realistic Niji Style - ZIT - NijiReol.safetensors

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Nokuto Koike's Manga Style - ZIT.safetensors

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Painting Tome 2 - ZIT.safetensors

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Painting Tome 2 - ZIT.txt

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+Painting Tome 2 - ZIT
+
+Steps : 8
+
+Sampler : heunpp2
+
+Scheduler : Normal
+
+Weighting : around 0.6
+
+Triggers. No trigger words are listed on this version. The LoRA activates simply by being loaded into your generation. Check the author's description on this page for any tag-based activation hints that might still apply.
+
+Prompting. Z-Image uses natural-language sentences. Bilingual support with a noticeable quality boost from Chinese prompts. Shorter prompts work better, especially on the Turbo variant. It handles natural language well, closer to Flux style than tag-based systems, and responds better to descriptive phrasing than technical terminology. Prompt as you normally would for this base model. The LoRA influences the output without needing specific trigger words.
+
+Weight. A good starting weight for most LoRAs is around 0.8, and the typical useful range is 0.6 to 0.9. From there, adjust based on what you see:
+
+    Too strong (bleeding into everything, distorted anatomy): drop to 0.5 to 0.7
+    Too weak (no visible effect): push to 0.9 to 1.0
+    Style LoRAs often want lower weights (0.5 to 0.7) than character LoRAs
+
+If the author's description lists a recommended range, prefer that. They know their own training best.
+
+Compatible checkpoints. Any Z-Image-family checkpoint should work. Popular choices include Z-Image-Turbo, Z-Image Base, Z-Image-Edit, Z-Image-Omni, and Z-Image-Turbo-Art. Results vary by checkpoint, since a LoRA tuned against one finetune's aesthetic may look different on another even when the base family matches.
+
+Base settings. Z-Image-Turbo uses default CFG 1.0 (guidance-distilled) at 8 to 9 steps. Z-Image Base needs CFG 3.0 to 5.0 with 25 to 50 steps. Union ControlNet (v2.1) uses a step-cutoff technique: apply at full strength for initial steps, then disable for final refinement steps to preserve distillation quality. LoRA training works on both models, with AI Toolkit as the standard trainer for Turbo and OneTrainer preferred for Base. Multi-pass upscaling handles resolutions beyond the native ceiling using base generation followed by iterative latent upscaling and refinement.
+
+Loading it. Save the file to models/Lora/ in Automatic1111/Forge or models/loras/ in ComfyUI (the directory names differ).
+
+In Automatic1111 or Forge, reference it from your prompt with the syntax <lora:FILENAME:0.8>, replacing FILENAME with the saved filename (no .safetensors extension) and 0.8 with your chosen weight.
+
+In ComfyUI, add a Load LoRA node between your Load Checkpoint and your sampler. Chain additional Load LoRA nodes to stack multiple LoRAs. The node's strength_model is the equivalent of the prompt-syntax weight.

Photo Factory - ZIT - Arlequin art style.safetensors

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Photo V2T2 - ZIT - Bradhamel art style.safetensors

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Photo V2T2 - ZIT - Bradhamel art style.txt

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+Photo V2T2 - ZIT
+
+Triggers. No trigger words are listed on this version. The LoRA activates simply by being loaded into your generation. Check the author's description on this page for any tag-based activation hints that might still apply.
+
+Prompting. Z-Image uses natural-language sentences. Bilingual support with a noticeable quality boost from Chinese prompts. Shorter prompts work better, especially on the Turbo variant. It handles natural language well, closer to Flux style than tag-based systems, and responds better to descriptive phrasing than technical terminology. Prompt as you normally would for this base model. The LoRA influences the output without needing specific trigger words.
+
+Weight. A good starting weight for most LoRAs is around 0.8, and the typical useful range is 0.6 to 0.9. From there, adjust based on what you see:
+
+    Too strong (bleeding into everything, distorted anatomy): drop to 0.5 to 0.7
+    Too weak (no visible effect): push to 0.9 to 1.0
+    Style LoRAs often want lower weights (0.5 to 0.7) than character LoRAs
+
+If the author's description lists a recommended range, prefer that. They know their own training best.
+
+Compatible checkpoints. Any Z-Image-family checkpoint should work. Popular choices include Z-Image-Turbo, Z-Image Base, Z-Image-Edit, Z-Image-Omni, and Z-Image-Turbo-Art. Results vary by checkpoint, since a LoRA tuned against one finetune's aesthetic may look different on another even when the base family matches.
+
+Base settings. Z-Image-Turbo uses default CFG 1.0 (guidance-distilled) at 8 to 9 steps. Z-Image Base needs CFG 3.0 to 5.0 with 25 to 50 steps. Union ControlNet (v2.1) uses a step-cutoff technique: apply at full strength for initial steps, then disable for final refinement steps to preserve distillation quality. LoRA training works on both models, with AI Toolkit as the standard trainer for Turbo and OneTrainer preferred for Base. Multi-pass upscaling handles resolutions beyond the native ceiling using base generation followed by iterative latent upscaling and refinement.
+
+Loading it. Save the file to models/Lora/ in Automatic1111/Forge or models/loras/ in ComfyUI (the directory names differ).
+
+In Automatic1111 or Forge, reference it from your prompt with the syntax <lora:FILENAME:0.8>, replacing FILENAME with the saved filename (no .safetensors extension) and 0.8 with your chosen weight.
+
+In ComfyUI, add a Load LoRA node between your Load Checkpoint and your sampler. Chain additional Load LoRA nodes to stack multiple LoRAs. The node's strength_model is the equivalent of the prompt-syntax weight.
+
+Description
+
+    Steps : 8
+
+    Sampler : heunpp2
+
+    Scheduler : Normal
+
+    Weighting : around 0.6

Pilyeon Style - ZIT - Pilyeon style.safetensors

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Pinup Toon - ZIT - Bradhamel art style.safetensors

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RazbolicX - Semi-realistic Fantasy Style - ZIT.safetensors

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RazbolicX - Semi-realistic Fantasy Style - ZIT.txt

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+RazbolicX - Semi-realistic Fantasy Style - ZIT
+
+Recommended Settings
+
+These are the settings I tested most and had the best results with:
+
+Sampler + Scheduler: dpmpp_2m_sde + beta
+ModelSamplingAuraFlow: 7.00
+Steps: 12
+CFG: 1.00
+LoRA Strength: 0.65
+Strength Notes
+
+0.65 is my personal favorite and the setting I recommend starting with.
+
+The model is usable from 0.20 to 1.00:
+
+0.20 - 0.40 = lighter influence, keeps more of the base model behavior, good for subtle fantasy enhancement
+
+0.50 - 0.70 = best balance of fantasy influence, realism, and stability
+
+0.65 = my favorite tested strength
+
+0.75 - 0.90 = stronger fantasy identity, more visible LoRA influence, but more chance of render-like texture
+
+1.00 = very strong influence, can push the CGI / 3D render look a lot
+
+At 1.00, the model can still create strong images, but it becomes much less subtle. It may give more dramatic fantasy designs, but also a more polished rendered texture depending on the prompt.
+
+For the cleanest semi-realistic / photoreal fantasy results, I recommend starting around 0.60 - 0.70.
+
+For weirder and more stylized fantasy concepts, you can push higher.
+

Retro Sci-fi 90's anime style - ZIT.safetensors

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SIMPLE NSFW ANIME - Zimageturbo - anime.safetensors

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Semkavkvadrate Photography - Zimageturbo.safetensors

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Sketching Opus 2 - ZIT - Bradhamel art style.safetensors

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Textured Painterly Style - ZIT - ed_painterly.safetensors

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True Trained Styles Blender - ZIT - blend_pro.safetensors

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Vintage Character Lighting - ZIT - Vintage Character Lighting.safetensors

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