Pro version of Babes_By_Stable_Yogi Pony is available on <a target="_blank" rel="ugc" href="https://brandulate.com/">my Patreon</a>Onsite generations are permanently available on this version: <a target="_blank" rel="ugc" href="https://civarchive.com/models/166609?modelVersionId=992946￼👉">👉</a> Babes_By_Stable_Yogi: <a target="_blank" rel="ugc" href="https://civarchive.com/models/174687?modelVersionId=2110984">https://civarchive.com/models/174687?modelVersionId=2110984</a><h2 id="babes-by-stable-yogi-v6.5">Babes By Stable Yogi V6.5</h2>V6.5 is a substantial step up from V6.0.Anatomy, Expressions and gestures, Environments, Pose stabilityA lot of these fixes came directly from feedback identified by our Patreon community — folks running the in-development checkpoints, noting what broke, and helping us prioritize what to fix for the next version.## 🚀 Be part of the next versionWe run a free image generator at discord.gg/DZEenb5wGc that ships the next-in-development checkpoint inline. Explorers generate with it, report shortfalls, and we record that feedback into the build queue for the following version.If you've ever wanted to be part of how a checkpoint is actually made — hop in. Free to use, no install, no setup. Generate, find issues, tell us, and you'll see your fixes land in the next release.## File lineupSix format variants ship for general use:(FP16) | Default for most users — best quality / speed balance |(BF16) | RTX 3000+ with BF16 support, slight speed edge |(FP8 Scaled) | ~8 GB VRAM cards — Forge &amp; ComfyUI native, no extra nodes |(NF4) | Lowest VRAM (4-6 GB) — Forge native, ComfyUI with bnb_nf4 node |(Q6_K) | Highest quality GGUF — needs ComfyUI-GGUF or [my Forge GGUF extension for forge ui] (<a target="_blank" rel="ugc" href="https://github.com/brandulateai/sd-forge-sdxl-gguf-brandulateai">https://github.com/brandulateai/sd-forge-sdxl-gguf-brandulateai</a>) |DMD2 — 4 steps, CFG 1.2, LCM sampler. Fastest option |## Recommended settingsStandard variants:- Sampler: <code>Euler a</code> or <code>DPM++ 2M</code>- Scheduler: <code>Karras</code>- Steps: 25–30- CFG: 5–7DMD2 variant only:- Sampler: <code>LCM</code>- Steps: 4 (yes, four)- CFG: 1.2Resolution: native SDXL — 1024×1024, 832×1216, 1216×832 work cleanly.## Where else to find mePro variants and feedback: [Patreon](<a target="_blank" rel="ugc" href="https://patreon.com/brandulate">https://patreon.com/brandulate</a>)(<a target="_blank" rel="ugc" href="https://github.com/brandulateai">https://github.com/brandulateai</a>)Free generator with the next checkpoint waiting for your feedback at Discord Community: <a target="_blank" rel="ugc" href="https://discord.gg/DZEenb5wGc">https://discord.gg/DZEenb5wGc</a>Join me on <a target="_blank" rel="ugc" href="https://brandulate.com/">my Patreon</a>. for exclusive perks and early access to unique resources.To discuss custom LoRa's or models, feel free to connect on <a target="_blank" rel="ugc" href="https://discord.gg/FAgfAeMqys">Discord.</a><ul><li>👍 Like this model to keep me motivated and inspired to create more!</li><li>💬 Drop a comment and let me know what you'd love to see next.</li><li>🌟 Review this model to help me improve and make even better creations.</li><li>🔔 Hit that notification bell to stay updated with my latest models and updates!</li></ul><h3 id="important-usage-tips">Important Usage Tips</h3><ul><li>Add <a target="_blank" rel="ugc" href="https://civarchive.com/models/177792?modelVersionId=775151">Stable_Yogis_PDXL_Positives</a> at the beginning of your prompt section.</li><li>Add <a target="_blank" rel="ugc" href="https://civarchive.com/models/177792?modelVersionId=772342">Stable_Yogis_PDXL_Negatives-neg</a> at the beginning of your negative prompt section.</li></ul>

Babes By Stable Yogi - Pony

## About this version — FP8 ScaledThis is the FP8 Scaled build of Babes By Stable Yogi Pony V6.5 — a near-FP16-quality variant in a smaller <code>.safetensors</code> file (~3.2 GB), loadable natively in any modern SD UI without extra extensions or custom nodes.### Who this is for- 8-12 GB VRAM cards (RTX 3060, 4060 Ti, 4070, 2080 Ti, 3070, 3080) — fits comfortably with room for LoRAs and hires fix- Anyone who wants near-FP16 quality without the GGUF loader dance — drop the file into <code>models/Stable-diffusion/</code>, pick from the dropdown, done- Users on stock Forge / ComfyUI / A1111 setups — no extensions, no custom nodes, no setup### How it compares| File | Format | Size | Loader needed? ||---|---|---|---|| FP16 | safetensors | ~6.5 GB | None (any UI) || FP8 Scaled | safetensors | ~3.2 GB | None (any UI) || Q8_0 GGUF | gguf | ~3.9 GB | ComfyUI-GGUF / my Forge extension || Q4_0 GGUF | gguf | ~2.7 GB | Same as above |FP8 Scaled vs Q8_0 GGUF — similar quality, FP8 is slightly smaller AND loads natively. Pick FP8 if you want zero install friction; pick Q8_0 if you already have the GGUF loaders set up and prefer the unified GGUF workflow.### QualityThe "Scaled" in FP8 Scaled means each tensor carries its own scaling factor that preserves dynamic range — so unlike vanilla FP8, this format is essentially indistinguishable from FP16 in normal generation. If you can spot the difference in a blind side-by-side, you have a sharper eye than most.### How to use it1. Drop the file into <code>&lt;your-ui&gt;/models/Stable-diffusion/</code>2. Refresh the checkpoint dropdown (or restart the UI)3. Pick it. Generate. Done.No extensions. No custom nodes. No external CLIP/VAE module pickers — CLIP-L, CLIP-G, and VAE are all bundled in this single file.### Recommended settings- Sampler: Euler a or DPM++ 2M- Scheduler: Karras- Steps: 25-30- CFG: 5-7- Resolution: 1024×1024 (or any SDXL-native size: 832×1216, 1216×832)### Why FP8 Scaled?It's the friction-free quality variant. You get ~99% of FP16's output quality, ~half the file size, ~half the VRAM footprint, and zero extra setup. For mid-range cards that can technically run FP16 but find it tight, FP8 Scaled is the sweet spot.### Want maximum quality / minimum size?The full lineup is across the version pages on this model:- FP16 / BF16 — for 24 GB+ cards- FP8 Scaled ← you are here- Q8 / Q4 GGUF — for low-VRAM workflows (separate page)- DMD2 merge — fastest path (4 steps, LCM, CFG 1.2)### Support our workIf V6.5 helped you, support the project:- Patreon: <a target="_blank" rel="ugc" href="https://brandulate.com/">Patreon</a>- Discord (Brandulate Server): <a target="_blank" rel="ugc" href="https://discord.gg/DZEenb5wGc">https://discord.gg/DZEenb5wGc</a>

Files with SHA256: de1f2cc77cbbf1df8e6dfbe2ca66e20800e3a1a6c6ebe4056dafa789690b058f