<h2 id="important-please-read-everything-isqcd829k">🚨 IMPORTANT - PLEASE READ EVERYTHING 🚨</h2>YOU MUST USE ALPHA CLIP AS WELL. PLEASE DOWNLOAD IT BY CLICKING ALPHA CLIP AT THE TOP BAR. FOLLOW USAGE INSTRUCTIONS BELOW FOR INSTALLATION.This model is an early experimental model of our future planned Flux model. It it NOT representative of a final product and has not undergone the necessary training to be considered so. Many tags have not been included within the model for the purpose of this alpha. You may experience certain problems relating to prompt cohesion, text legibility, species understanding, anatomy, style, and backgrounds. LoRA’s that have been trained on this model may or may not work in future iterations of the model. ANYTHING WITHIN THE MODEL IS SUBJECT TO CHANGE.<h2 id="join-our-discord-server!-s5dbcfrnf">Join Our Discord Server!</h2>We have a Discord server where we provide updates on our models, take feedback relating to our models and generally enjoy a good chat. We’d love to see you there!<a target="_blank" rel="ugc" href="https://discord.gg/3GZHQTEEJq">https://discord.gg/3GZHQTEEJq</a><h2 id="recommended-settings-3ffvxfa11">Recommended Settings</h2>For optimal results with our model, we recommend the following settings:<ul><li>Resolution: 1024x1024</li><li>Steps: 15-30</li><li>CFG: 1 (Disabled) or 2-4</li><li>Guidance: 4</li><li>CFG Skip Steps: 4</li></ul>The choice between CFG 1 and CFG 2-4 depends on your specific needs:CFG 2-4 advantages:<ul><li>Produces more coherent text, even with lower step counts</li><li>Can generate more detailed images or results closer to base Flux</li></ul>CFG 1 advantage:<ul><li>Faster generation times (about half the time of CFG 2-4)</li></ul>We recommend experimenting with both to find your preference. If using CFG 1, you may need to increase the step count for more coherent results.When using CFG 2-4, it's crucial to skip steps. We suggest skipping 4 steps at 15 total steps. If your generations appear very blurry and blue, try increasing the number of skipped steps. Our ComfyUI workflow will handle this automatically.<h2 id="usage-instructions-6ud8tsquq">Usage Instructions</h2>Please download the ComfyUI workflow from the link below, or via Suggested Resources on the CivitAI page.<a target="_blank" rel="ugc" href="https://huggingface.co/lodestone-horizon/furry-flux-pilot-alpha/blob/main/comfy-workflow.json">https://huggingface.co/lodestone-horizon/furry-flux-pilot-alpha/blob/main/comfy-workflow.json</a><ol><li>Click &lt;/&gt; raw</li><li>CTRL + S</li><li>Save to a location that you know.</li></ol>Then drag and drop this workflow into your up-to-date ComfyUI interface.If you do not have ComfyUI, please follow these installation instructions:<a target="_blank" rel="ugc" href="https://github.com/comfyanonymous/ComfyUI?tab=readme-ov-file#installing">https://github.com/comfyanonymous/ComfyUI?tab=readme-ov-file#installing</a>CLIP and "UNET": Once you have loaded the workflow, you must select the appropriate CLIP and “UNET” model. The model should be placed in <code>(ComfyUI Folder)/models/UNET</code> and the CLIP model should be placed inside of <code>(ComfyUI Folder)/models/CLIP</code>VAE: You must also download the VAE that provided with this model. You do not need to do this if you have already downloaded the FLUX.1 Dev VAE. The VAE should be placed in <code>(ComfyUI Folder)/models/VAE</code>T5: You must also download T5 which is provided in Suggested Resources. You do not need to do this if you have already downloaded T5. T5 should be placed in <code>(ComfyUI Folder)/models/CLIP</code>If you have placed these files after the interface has already been loaded, please refresh the page, otherwise they will not appear.Both the “UNET” + CLIP was trained with this model, so it’s vital to use both of them for appropriate performance. You must download both files available. In the workflow, you should select your model files here.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d894ad70-753b-4718-9372-10c0603d6005/width=525/d894ad70-753b-4718-9372-10c0603d6005.jpeg" />On the left side of the workflow, you’ll see the settings for your generation. At the top in the green box, you’re able to input your positive prompt. The red box is for negatives.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/856e80fe-b7fe-410f-a711-4d5f4a72be8c/width=525/856e80fe-b7fe-410f-a711-4d5f4a72be8c.jpeg" />Please read Prompting &amp; Tips below to learn more about how to prompt the model effectively.<h2 id="model-info-iutr2qepy">Model Info</h2>Chromafur Alpha is an experimental furry AI model built on Black Forest Labs' FLUX.1-dev foundational model. Created by Horizon Team, it's an initial experiment for a larger model planned in the near future. Chromafur Alpha specialises in generating high-quality SFW and NSFW furry artwork as it has been trained on a focused dataset.The model uses a custom in-house captioning model designed to describe furry artwork naturally, avoiding overly flowery language. It also incorporates both existing and AI-generated tags, allowing it to respond well to prompts while maintaining Flux's strong natural language understanding.Notably, Chromafur Alpha has demonstrated the ability to use both tags and captions for image generation, whilst excelling at complicated prompts with extensive natural language and tags.<h2 id="strengths-and-weaknesses-ufnfl0zwu">Strengths &amp; Weaknesses</h2>During our evaluation of the model by ourself and the community, we find the following strengths and weaknesses in the model:<h3 id="strengths-demge8s0q">Strengths</h3><ul><li>High-level understanding of natural language, even with complex prompts involving a large variety of objects, fur, colors and more.</li><li>Flexible natural language style, accommodating complex and simple English..</li><li>Proficient at creating visually appealing anthropomorphic characters.</li><li>Capable of generating genitalia and other NSFW elements.</li><li>Ability to work with various prompt lengths, from concise to detailed.</li></ul><h3 id="weaknesses-2opv03jrp">Weaknesses</h3><ul><li>Limited capability for duo+ compositions, as it's not specifically trained for this.</li><li>Limited ability to modify style of generation, there tends to be one singular ‘house style’.</li><li>Image quality tends to degrade with aspect ratios beyond 1:1.</li><li>Tendency to accidentally include genitalia on characters when not specifically requested.</li><li>Characters often default to nude unless specific clothing items are prompted.</li><li>Reduced text generation comprehension compared to base Flux.</li><li>Tendency to include human figures in backgrounds, even when only furry characters are requested.</li><li>Occasional issues with image quality, resulting in graininess or blurriness.</li></ul><h2 id="prompting-and-tips-cwi55ju5b">Prompting &amp; Tips</h2>It's strongly recommended to use natural language in your generations and to utilise our ComfyUI workflow. Here's how to prompt effectively with our workflow:ComfyUI Workflow Prompting1. CLIP Box (Top)<ul><li>Format: image tags: tag1, tag2, tag3</li><li>Use this for listing image tags, as you would’ve done with SD 1.5 or SDXL.</li></ul>T5 Box (Bottom)<ul><li>Format: image tags: (same as your CLIP tags) image captions: "your caption here"</li><li>Include both tags and a natural language caption</li></ul>Using NegativesNegatives are supported, following the same tagging and prompting guidelines<ul><li>Important: To use negatives, you must use a CFG setting other than CFG 1</li><li>Negatives will not work with CFG 1</li></ul>Prompting Style<ul><li>Describe your scene in a natural manner</li><li>Refer to our provided example images to understand the prompting style</li><li>Use natural language for detailed descriptions</li></ul>By following these guidelines, you can effectively leverage our model's capabilities and achieve better results with your generations.<h2 id="credits-wqxkrpbju">Credits</h2>This model was developed by the Horizon Team, a team dedicated to creating high-quality furry AI models.<ul><li>Lead Research: Lodestone Rock</li><li>Data: Bananapuncakes</li><li>Research: Theos</li><li>Research: Clybius</li><li>Technical Assistance: Dogarrowtype</li></ul>Extra Funded Provided By:<ul><li>Minotoro @ <a target="_blank" rel="ugc" href="http://frosting.ai">frosting.ai</a></li><li>Anonymous Donor(s) x 2</li></ul>We'd like to express our heartfelt gratitude to our wonderful Supporters who made this model possible. Golden Supporters received early access to this model as a thank you for their contributions ❤️Golden Supporter:<ul><li>3eve3</li><li>Gushousekai195</li><li>Kadah</li><li>Mobbun</li><li>Robke223</li><li>TheGreatSako</li><li>TheUnamusedFox</li></ul>Serious Supporter:<ul><li>IlllIs</li></ul>Supporter<ul><li>degreeze</li><li>Tails8521</li><li>Anonymous Donor</li></ul>If you’d like to support us, you can subscribe to us via SubscribeStar here. A variety of tiers are available.<a target="_blank" rel="ugc" href="https://subscribestar.adult/lodestone-rock">https://subscribestar.adult/lodestone-rock</a>We also take donations via Ko-fi.<a target="_blank" rel="ugc" href="https://ko-fi.com/lodestonerock">https://ko-fi.com/lodestonerock</a>Please contact us if you wish to donate via other means or can provide computational hardware.<h3 id="special-thanks-f8vx7bhue">Special Thanks</h3><ul><li>IlllIs</li><li>Mo</li><li>GodEmperorHydra</li><li>Furry Diffusion Moderation Team</li><li>You!</li></ul>Have a good one! \o/

Chromafur Alpha [Furry FLUX Dev]

ae.safetensors

chromafurAlphaFurry_alpha.safetensors

Alpha

Alpha (GGUF)

Alpha CLIP L [USE ME]

LH Pixar 3D Style Model Overview (FLUX Optimized)Model Name: LH Pixar 3D Style Powered by: FLUX Purpose: This model is optimized for creating expressive Pixar-style 3D artwork, focusing on vibrant visuals, professional cartoon-style aesthetics, and smooth rendering. Designed for lower guidance scale (2 to 3.5), it achieves high-quality results with faster processing.Training Details:Training Steps: 18,900Dataset: 315 curated images focusing on Pixar-inspired 3D art, emphasizing detailed characters, environments, and lighting.Key Features:Pixar-Inspired Aesthetics: Captures the charm of animated 3D characters with expressive features and dynamic poses.Utilizes a rich and cheerful color palette with soft lighting.FLUX Optimization: Optimized for low guidance scales (2 to 3.5), providing consistent results with minimal fine-tuning.Lightweight and efficient, ensuring faster output without compromising quality.Versatile Outputs: Generates characters and scenes suitable for storytelling, marketing, or playful projects.Supports thematic variations like fantasy, futuristic, or everyday scenarios.Seamless Environment Integration: Effortlessly blends characters with customized backgrounds and dynamic elements.How to Use LH Pixar 3D Style with FLUX:Recommended Guidance Scale: Set CFG Scale between 2 and 3.5 for optimal balance between creativity and control.Sampling Steps: Use 25–35 steps for detailed outputs. FLUX ensures rapid generation without requiring high step counts.Prompting Tips: Character Design: Focus on detailed descriptions of characters, their clothing, and expressions. Example:"A young boy with curly hair, wide eyes, wearing a yellow coat, holding a magnifying glass in a sunny garden, Pixar-inspired lighting."Scene Design: Include environmental elements for a complete look. Example:"A cheerful pencil character painting on a canvas, colorful paint splashes in a sunny art studio, Pixar 3D style."Resolution and Aspect Ratio: Use resolutions like 768x1024 for vertical portraits or 1344x768 for horizontal scenes.Fine-Tuning:Combine with specific keywords like "smooth textures," "dynamic lighting," or "cheerful atmosphere" to align with Pixar-style visuals.Applications:Children's Content: Ideal for storybooks, educational illustrations, and playful animations.Creative Marketing: Eye-catching graphics for brand campaigns, advertisements, or digital content.Imaginative Worlds: Generates fantastical characters and settings, perfect for entertainment or narrative projects.Product Branding: Engages audiences with joyful, approachable visuals.Example Use Cases:Fantasy: "A girl astronaut in a colorful space landscape, wearing a futuristic suit, with glowing alien flowers."Everyday Playfulness: "An orange cartoon cat playfully jumping in a cozy kitchen, holding a cookie, with warm sunlight streaming in."Educational Projects: "A cheerful pencil character painting the words 'I Love Pixar' on a canvas in a bright art studio."Why Choose FLUX for LH Pixar 3D Style?Efficient Processing: Faster rendering without requiring high CFG values.High-Quality Outputs: Detailed textures and vibrant designs with minimal adjustments.User-Friendly: Tailored for creators seeking simplicity without sacrificing creativity.With 18,900 training steps and 315 carefully selected images, LH Pixar 3D Style powered by FLUX delivers Pixar-like magic effortlessly, making it perfect for creators who want consistent and high-quality results!

FLUX Pixar Cartoon 3D Style by LH

vae.safetensors

fluxPixarCartoon3D_v10.safetensors

v1.0

v2.0

<h1 id="nayelina-z-anime">Nayelina Z-Anime</h1>Anime Model Based on Z-Image<h3 id="overview">Overview</h3>Nayelina Z-Anime is an anime-focused model built for Anime Style, designed to be used strictly with Danbooru-style tags.This is the first public version, so while results are strong, some generations may still require prompt tuning.<h3 id="training">Training</h3>- Steps: 30,000- GPU: RTX 5090- Tag system: Danbooru tags- Focus: NSFW anime content<h3 id="usage-notes">Usage Notes</h3>- Tag-based prompting.- Works best with clean, structured Danbooru tags.- Some poses, hands, or compositions may need refinement due to early version limits.<h3 id="version">Version</h3>v1.0 — Initial release <h3 id="hugginfacehttps:huggingface.conayelinanayelina_anime"> Hugginface <a target="_blank" rel="ugc" href="https://huggingface.co/nayelina/nayelina_anime">https://huggingface.co/nayelina/nayelina_anime</a></h3>

Nayelina Z-Anime

nayelinaZAnime_v10.safetensors

ae.sft

Z-Image-Turbo is live for Generation! We're monitoring performance, and we'll be tweaking functionality behind the scenes over the next few days!Z-Image is a powerful and highly efficient image generation model with 6B parameters. It is currently has three variants:<ul><li>🚀 Z-Image-Turbo (this model) – A distilled version of Z-Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It offers ⚡️sub-second inference latency⚡️ on enterprise-grade H800 GPUs and fits comfortably within 16G VRAM consumer devices. It excels in photorealistic image generation, bilingual text rendering (English &amp; Chinese), and robust instruction adherence.</li><li>🧱 Z-Image-Base – The non-distilled foundation model. By releasing this checkpoint, we aim to unlock the full potential for community-driven fine-tuning and custom development.</li><li>✍️ Z-Image-Edit – A variant fine-tuned on Z-Image specifically for image editing tasks. It supports creative image-to-image generation with impressive instruction-following capabilities, allowing for precise edits based on natural language prompts.</li></ul>Original ComfyUI Models: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files">https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files</a>Original HF Repo: <a target="_blank" rel="ugc" href="https://huggingface.co/Tongyi-MAI/Z-Image-Turbo">https://huggingface.co/Tongyi-MAI/Z-Image-Turbo</a>

Z Image Turbo

zImageTurbo_vae.safetensors

Text Encoder

Turbo

Z-Image is a powerful and highly efficient image generation model with 6B parameters. It is currently has three variants:<ul><li>🚀 Z-Image-Turbo – A distilled version of Z-Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It offers ⚡️sub-second inference latency⚡️ on enterprise-grade H800 GPUs and fits comfortably within 16G VRAM consumer devices. It excels in photorealistic image generation, bilingual text rendering (English &amp; Chinese), and robust instruction adherence.</li><li>🧱 Z-Image-Base (this model) – The non-distilled foundation model. By releasing this checkpoint, we aim to unlock the full potential for community-driven fine-tuning and custom development.</li><li>✍️ Z-Image-Edit – A variant fine-tuned on Z-Image specifically for image editing tasks. It supports creative image-to-image generation with impressive instruction-following capabilities, allowing for precise edits based on natural language prompts.</li></ul>Original ComfyUI Models: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/z_image">https://huggingface.co/Comfy-Org/z_image</a>Original HF Repo: <a target="_blank" rel="ugc" href="https://huggingface.co/Tongyi-MAI/Z-Image">https://huggingface.co/Tongyi-MAI/Z-Image</a>

Files with SHA256: afc8e28272cd15db3919bacdb6918ce9c1ed22e96cb12c4d5ed0fba823529e38