v2.0 Baked Graphite &amp; Pencil Monolith (Merged Edition)🚀 IMPORTANT: INSTALLATION &amp; USAGE GUIDEThis release is a ready-to-use baked monolith in pure BF16 format. It is a standalone checkpoint (Merge), not LoRA. To ensure the model works correctly and achieves the specified quality, strictly follow the instructions below.📂 Where to download:ComfyUI / Forge / reForge: Place the downloaded file strictly in the models/diffusion_models/ folder (NOT in models/checkpoints or models/loras).⚙️ How to use:In your workflow, select this file via the UNet/DiT model loading node (e.g., Load Diffusion Model in ComfyUI).The model operates as a standalone, independent engine. No additional LoRA nodes are required to invoke this style.🔑 Mandatory Trigger Word:Even though the style is fully integrated into the checkpoint weights, you MUST use the trigger word at the very beginning of the prompt: PenZlTr512.This token is the key that activates the custom rank 512 structure. Without this trigger, the model will output standard graphics and ignore the unique pencil lead texture, search lines, and custom Orakul Studio signature.The official merge of our high-ranking LoRA directly into the base checkpoint. Using a custom protocol with dynamic alpha, we were able to bake a live pencil texture without destroying the geometry.This version is designed for those who want a refined, soft graphite stroke (HB/2B) with perfect airy shading, completely eliminating the heavy "marker" burnout and inky blackness.⚠️ Strict Generation RulesTo ensure the model delivers the advertised analog quality and a soft gray tone, use only these settings:Sampling Steps: Strictly 20 (No more, no less. This is the ideal diffusion point, where the dark fractions don't have time to turn into a dull ink).CFG Scale: 2.5 (Critically important! Don't set it higher it will burn the midtones).Sampler: UniPC (Recommended by the author for perfect line accuracy).Scheduler: G Uniform (Ensures a soft noise distribution).Denoise: 0.95 (Optimal balance for revealing hidden graphics layers).<a target="_blank" rel="ugc" href="https://github.com/OrakulStudio">https://github.com/OrakulStudio</a>

Z-image | v2.0 - Baked Graphite & Pencil Monolith (Merged Edition)

zImageV20BakedGraphite_v20.safetensors

v2.0

Z-Image-Base model. Finally. Official.<ul><li>Resolution: 512×512 to 2048×2048 </li><li>Guidance scale: 3.0 – 5.0</li><li>Inference steps: 28 – 50</li></ul><span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Original <a target="_blank" rel="ugc" href="https://huggingface.co/Tongyi-MAI/Z-Image">https://huggingface.co/Tongyi-MAI/Z-Image</a>

Z-Image-Base

zImageBase_v10.safetensors

v1.0

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>

Z Image Base

Comfy Repack <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/z_image">https://huggingface.co/Comfy-Org/z_image</a>

Files with SHA256: 996a67d3ff666946b1c25cbc16d1b1918b6cc0ac166309e23fe3b3d830263dee