fixed image samples hyperlinks
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README.md
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# Ray’s Models Zoo
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<div style="display:flex; align-items:center; gap:1rem;">
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<div style="flex:0 0 auto;">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/RAY_LOGOT.png" width="
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</div>
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<div style="flex:1;">
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---
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## Rayflux v1.0
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Less photorealistic than Photoplus but more vibrant and creatively expressive. A versatile all-rounder that works well across photography, digital illustration, and hybrid “photo-illustration” styles.
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## Rayflux Photoplus
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AKA Rayflux v2. A best-in-class photorealistic Rayflux variant with excellent analog-style grain, stable anatomy, and a broad creative range. Ideal for portraits, street scenes, and detailed natural photography with a cinematic twist.
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## Rayflux v3.0
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Trained on the same dataset as Photoplus enhanced with outputs from v1. Strikes a balanced hybrid identity: clean photographic detail with meaningful creative flexibility and a slightly more mature, cohesive visual language.
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## Rayflux Horndog
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A model I overtuned on anatomy trying to improve on Photoplus; it tends to produce accidental NSFW content so don't forget to prompt for clothing! High detail, vivid rendering, and strong contrast, but is harder to control than previous models. Suffers a bit from same-face syndrome (use LoRAs to avoid that).
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> Sampler: **Euler/Simple** · Steps: **16**
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## RayQwest v1.0
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RayQwest v1.0 is designed to remove the characteristic “AI plasticness” often seen in Qwen-Image outputs, restoring a more natural analog grit and the recognizable Ray-style aesthetic. It maintains excellent prompt comprehension, handles a wide range of styles with ease, and runs fast — all while giving Qwen’s already powerful architecture a stronger artistic backbone. Carries some of Qwen’s usual softness — less sharp than Rayflux — but compensates with **excellent prompt accuracy and expressive range**. Works well for portraits, lifestyle photography, stylized art, and creative compositions.
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> Sampler: **DPMPP2M/Karras** · cfg:**5-7** · Steps: **20-30**
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## Raymnants 3.0
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Realistic model with a good sense for Art. Great at portraits, wide ethnic and body type range. The model that started it all. What would happen if I trained a bunch of street photos into an image model? The answer was: RAYMNANTS The rudimentary methodology and complete lack of insight make it nothing short of a miracle that it came out that good. Still took half a dozen iterations before 3.0 though!
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## Rayctifier 1.5
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My artistic model, geared towards painting style and all around illustrations, with a classical painting flair.
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I’ve finetuned a branch of my realistic model, RAYMNANTS, on about 600 public domain paintings from the Smithsonian online archive, concentrating on the 1750-1850 period.
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The result is a model that absorbed some of the style from those classical painting while retaining above average photo capacity. It will perform really well for any prompt destined to output a painting, do well on illustration, but generally underperforms in photo-style context
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## Rayburn 1.0
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My overly opinionated stylized model, geared comic-style illustrations, it will take everything you thrown at it, and give it back, with a twist. I’ve finetuned a branch of my painterly model, RAYCTIFIER, on a mix of about 800 hand-drawn illustrations and synthetic data.
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Careful cross-breeding to cultivate some style traits resulted in a very bold style you can’t really prompt out of but that has a lot of personality. It’s seriously overfit, but that’s what makes it the way it is. The model will perform well at taking its own stylistic stance to any kind of prompt you’ll thrown at it. It’s great fun, and also a bit wild!
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> Sampler: **Euler/Simple** · cfg: **1** · Steps: **8**
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## Rayzist v1.0
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Rayzist v1.0 is a fast, generalist Z-Image Turbo model with unusually strong prompt adhesion for its class. Despite its distilled nature, it's mostly uncensored, has a broad conceptual range, performs well across photography, anime, UI and comic-style rendering. It is also ridiculously good at generating readable text inside the image, which is unheard of for Turbo-tier models. Rapid ideation, multi-style image generation, but 8GB VRAM workflows, photography and anime rendering, and text-in-image generation: Rayzist has it all. Well, almost: it is still a distilled Turbo model and some visual concepts simply aren’t well encoded (e.g., cyclops / one-eyed characters). These gaps are unpredictable and usually only discovered through experimentation.
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> **Notes:** Pad the T5 tokenizer (min_length = 3); works well with dedicated negative prompting.
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## Raydiant v1.0
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Raydiant v1.0 is a Chroma-based model spun off from **Chroma v48**, tuned to produce uncensored analog-style photography with strong contrast, light fuzziness, and a natural film-grain feel. Despite its photographic backbone, it also performs surprisingly well across bold illustrated genres, maintaining expressive color and stylistic weight. It's quite hard to use, with islands of stability in the concepts where it performs well and other places where it's just falling flat on its face. I struggled a lot to train the model and never went back after Chroma v48, but I still like Raydiant for all its tantrums: bleeding concepts, garbled latents and unpolished hands/feet.
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# Ray’s Models Zoo
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<div style="display:flex; align-items:center; gap:1rem;">
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<div style="flex:0 0 auto;">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/RAY_LOGOT.png" width="200">
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</div>
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<div style="flex:1;">
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---
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## Rayflux v1.0
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayfluxv1_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayfluxv1_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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Less photorealistic than Photoplus but more vibrant and creatively expressive. A versatile all-rounder that works well across photography, digital illustration, and hybrid “photo-illustration” styles.
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## Rayflux Photoplus
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayfluxv2_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayfluxv2_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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AKA Rayflux v2. A best-in-class photorealistic Rayflux variant with excellent analog-style grain, stable anatomy, and a broad creative range. Ideal for portraits, street scenes, and detailed natural photography with a cinematic twist.
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## Rayflux v3.0
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayfluxv3_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayfluxv3_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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Trained on the same dataset as Photoplus enhanced with outputs from v1. Strikes a balanced hybrid identity: clean photographic detail with meaningful creative flexibility and a slightly more mature, cohesive visual language.
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## Rayflux Horndog
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/RayfluxvX_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/RayfluxvX_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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A model I overtuned on anatomy trying to improve on Photoplus; it tends to produce accidental NSFW content so don't forget to prompt for clothing! High detail, vivid rendering, and strong contrast, but is harder to control than previous models. Suffers a bit from same-face syndrome (use LoRAs to avoid that).
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> Sampler: **Euler/Simple** · Steps: **16**
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## RayQwest v1.0
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayqwest_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayqwest_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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RayQwest v1.0 is designed to remove the characteristic “AI plasticness” often seen in Qwen-Image outputs, restoring a more natural analog grit and the recognizable Ray-style aesthetic. It maintains excellent prompt comprehension, handles a wide range of styles with ease, and runs fast — all while giving Qwen’s already powerful architecture a stronger artistic backbone. Carries some of Qwen’s usual softness — less sharp than Rayflux — but compensates with **excellent prompt accuracy and expressive range**. Works well for portraits, lifestyle photography, stylized art, and creative compositions.
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> Sampler: **DPMPP2M/Karras** · cfg:**5-7** · Steps: **20-30**
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## Raymnants 3.0
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Raymnants_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Raymnants_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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Realistic model with a good sense for Art. Great at portraits, wide ethnic and body type range. The model that started it all. What would happen if I trained a bunch of street photos into an image model? The answer was: RAYMNANTS The rudimentary methodology and complete lack of insight make it nothing short of a miracle that it came out that good. Still took half a dozen iterations before 3.0 though!
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## Rayctifier 1.5
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayctifier_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayctifier_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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My artistic model, geared towards painting style and all around illustrations, with a classical painting flair.
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I’ve finetuned a branch of my realistic model, RAYMNANTS, on about 600 public domain paintings from the Smithsonian online archive, concentrating on the 1750-1850 period.
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The result is a model that absorbed some of the style from those classical painting while retaining above average photo capacity. It will perform really well for any prompt destined to output a painting, do well on illustration, but generally underperforms in photo-style context
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## Rayburn 1.0
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayburn_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayburn_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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My overly opinionated stylized model, geared comic-style illustrations, it will take everything you thrown at it, and give it back, with a twist. I’ve finetuned a branch of my painterly model, RAYCTIFIER, on a mix of about 800 hand-drawn illustrations and synthetic data.
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Careful cross-breeding to cultivate some style traits resulted in a very bold style you can’t really prompt out of but that has a lot of personality. It’s seriously overfit, but that’s what makes it the way it is. The model will perform well at taking its own stylistic stance to any kind of prompt you’ll thrown at it. It’s great fun, and also a bit wild!
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> Sampler: **Euler/Simple** · cfg: **1** · Steps: **8**
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## Rayzist v1.0
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayzist_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Rayzist_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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Rayzist v1.0 is a fast, generalist Z-Image Turbo model with unusually strong prompt adhesion for its class. Despite its distilled nature, it's mostly uncensored, has a broad conceptual range, performs well across photography, anime, UI and comic-style rendering. It is also ridiculously good at generating readable text inside the image, which is unheard of for Turbo-tier models. Rapid ideation, multi-style image generation, but 8GB VRAM workflows, photography and anime rendering, and text-in-image generation: Rayzist has it all. Well, almost: it is still a distilled Turbo model and some visual concepts simply aren’t well encoded (e.g., cyclops / one-eyed characters). These gaps are unpredictable and usually only discovered through experimentation.
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> **Notes:** Pad the T5 tokenizer (min_length = 3); works well with dedicated negative prompting.
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## Raydiant v1.0
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<a href="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Raydiant_00001_.png" target="_blank">
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<img src="https://huggingface.co/MutantSparrow/Ray/resolve/main/_IMG_/Raydiant_00002_.png"
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alt="Rayflux preview"
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style="max-width:100%; height:auto;">
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</a>
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Raydiant v1.0 is a Chroma-based model spun off from **Chroma v48**, tuned to produce uncensored analog-style photography with strong contrast, light fuzziness, and a natural film-grain feel. Despite its photographic backbone, it also performs surprisingly well across bold illustrated genres, maintaining expressive color and stylistic weight. It's quite hard to use, with islands of stability in the concepts where it performs well and other places where it's just falling flat on its face. I struggled a lot to train the model and never went back after Chroma v48, but I still like Raydiant for all its tantrums: bleeding concepts, garbled latents and unpolished hands/feet.
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