PlantyWhyx - v.0.9

PlantyWhyx

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PlantyWhyx by Whyxeo on Tensor.Art
PlantyWhyx by Whyxeo on Tensor.Art
PlantyWhyx by Whyxeo on Tensor.Art
PlantyWhyx by Whyxeo on Tensor.Art

🎬 MY SETTINGS 🎬

📸 CLIP SKIP: 2

🎲 CFG Scale: 4.5 | 5 | 5.5 | 6 (Optimal)

🧼 Samplers / Schedulers: Euler A, DPM++ 2M SDE, SGM Uniform, BETA, Karras

👣 Steps: 20 — 40

♨️ Hi-Res Fix: 4x-UltraSharp or Foolhardy Remacri (Don't use it now)

🎭 Adetailer: Use for Face and Eyes if you have problems with them

PROMPT PARAMETERS

✔️ Quality (Illustrious): masterpiece, best quality, very aesthetic

Negative Prompt: watermark, signature, copyright name, artist name, logo, text, english text, artist logo, twitter logo, twitter username, character name, patreon name, patreon logo, worst quality, low quality, normal quality, lowres, bad anatomy, bad hands, extra digits, missing fingers, error, blurry, text, child, childish, nude, naked, nsfw

💡 ADDITIONAL NOTES 💡

⚠️ Scheduler: You can use your own scheduler, but it is not recommended. ⚙️ CFG: You can adjust Classifier-Free Guidance to a greater or lesser extent, but the settings listed above are those I used. 💎 VAE: Baked into Model.

Version Detail

Illustrious
PlantWhyx — Model Stock Merge Model Overview: This version more basic for illustrious LORA test-merge-generation, more stable results. A community merge of three anime / illustration checkpoints from the Plant Milk 🌿 Model Suite by Ocean3: VariantSeriesVersion Walnutymk3.0.0 Hemp IIldbr4.1.1 Flaxldbr3.0.0 All three are Illustrious-based (SDXL architecture) checkpoints, so they are fully architecture-compatible and were merged directly without any conversion step. The result is a balanced blend that keeps the "flavor" of every source model. Model Introduction This checkpoint combines the three community-favorite variants of the Plant Milk suite into a single model. It targets anime / illustration generation and is intended as a general-purpose Illustrious anime base. Merge Method (Creation) Created by merging, not training. Two chained Model Stock merges were performed (Model Stock auto-selects the blend weight that keeps the result closest — by cosine similarity — to both inputs, which yields a stable, non-"burnt" blend of finetunes sharing a common lineage): 1.Walnut + Hemp II → intermediate checkpoint 2.intermediate + Flax → PlantWhyx (checkpoint: PlantWhyx.safetensors) Note: text-encoder (CLIP) tensors of a few layers fall back to source model A during per-tensor NaN/Inf validation (documented merge-engine safety behavior). The UNet — which drives image generation — is fully merged and unaffected. Inference Recommended settings (inherited from the source suite): •Sampler: Euler or Euler a (HeunPP2 / Restart also work) •CFG scale: ~3 (range 3–6) •Steps: ~28 •Resolution: 1024×1024 (SDXL native) Example (Automatic1111 / Forge / ComfyUI): prompt: a girl with long hair, flower field, soft lighting negative prompt: lowres, bad anatomy, worst quality Steps: 28, Sampler: Euler a, CFG: 3, Size: 1024x1024 Model Effects Blends the stylistic strengths of Walnut, Hemp II and Flax. Well suited for anime / illustration characters and scenes; behaves like a standard Illustrious anime base. License & Usage •License: Illustrious — FAIPL-1.0-SD (https://freedevproject.org/faipl-1.0-sd/) •Derivatives may be shared, but must not be used for commercial purposes (generative services, commissioned models, Yodayo-Moescape, PixAI, etc.). •When publishing merges, state the steps taken and clearly indicate where modifications were made. •The model may output NSFW content depending on the prompt; use responsibly. Source suite: https://civitai.com/models/1162518/plant-milk-model-suite ModelScope Download: https://modelscope.ai/models/Whyxeo/illustrious_Whyx

Project Permissions

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

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