BRAVO — MemeMix

🧩 Easy access to the visual concepts stored in the base SD 1.5 dataset (up to ~2021).
The model can reliably call classic characters, styles, mascots, pop-culture icons and recognizable visual identities.

🎭 How to summon a character / concept:
Use the syntax: (X:1.25)
where X is the character or concept you want.
(Not a LoRA trigger — the model pulls from its internal concept space.)

⚠️ Notes & limitations:
• Some concepts are blended — for example, Aeon Flux from the MTV animated series is heavily mixed with the film version.
• Historical or literary characters (e.g., D’Artagnan, Joan of Arc) are composite — built from multiple illustrations.
• Bender is partially mixed with other Futurama characters.
• Calling a purely drawn/animated character in realism may require several attempts.
• But strong, high-signal concepts like Stormtrooper, Pikachu, etc. are clean and highly stable.

---

✋ Improved hands

Hand generation is more stable and coherent across all styles.

❌ Do not use NEG: bad hands — it tends to make characters look younger.
✅ Prefer NEG: low detailed hands — more effective and stable.

⚙️ If you still see issues:
Schedule type: beta
Sampling steps: 40+
works in most cases.

---

🤝 Supports complex scenes

Well suited for memes, interactions, comedic setups, staged scenes, and character mashups.

---

🖼️ Extended generation field

• The model supports a 1024 px vertical resolution for full-body characters.
• Optimal size: 512 × 832 (the model tends to follow golden-ratio composition more consistently).

---

🧭 Character mixing

For controlled multi-character layouts, use Regional Prompter:
https://stable-diffusion-art.com/regional-prompter/

---

📝 Text in images

SD 1.5 still struggles with text.
For meme templates, use ControlNet (Scribble / Canny / Reference) after preparing a rough layout in any image editor.

---

📌 Additional tips are included in the prompt examples

The model is highly flexible for experimentation, comedy, aesthetic mixes and meme creativity.