README.md

metadata

title: Anima 2.9B
emoji: 🎨
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 6.23.1
app_file: app.py
pinned: false
suggested_hardware: zero-a10g
hf_oauth: true
short_description: Anima 2.9B anime text-to-image ZeroGPU demo

Anima-2.9B Hugging Face Space Demo

This Space hosts an interactive demo for Gazingstars123/Anima-2.9B, an expanded 40-layer, 2.9B parameter anime and illustration text-to-image diffusion model.

Model Highlights

• Base Model: Fine-tuned and layer-expanded from circlestone-labs/Anima (built upon nvidia/Cosmos-Predict2-2B-Text2Image).
• Layer Expansion: Expanded from 28 transformer layers to 40 transformer layers (~2.9B parameters).
• Dataset: Trained on an additional 1.7M anime and illustration samples using Muon optimizer.
• Knowledge Cutoff: July 2026.
• ZeroGPU Compatible: Optimized with @spaces.GPU for rapid zero-cost inference on Hugging Face Spaces.

Recommended Generation Parameters

Parameter	Recommended Value	Notes
Resolution	832x1216 (Portrait) or 1216x832 (Landscape)	Dimensions must be divisible by 16
Inference Steps	28 - 50	28 is fast and sharp; 50 provides high detail
CFG Guidance	3.5 - 5.0	Default 4.0
Negative Prompt	worst quality, low quality, score_1, score_2, score_3, artist name, blurry, jpeg artifacts, chromatic aberration	Removes low-aesthetic artifacts

Prompting Tips

• Quality tags: masterpiece, best quality, score_9, safe
• Character tags: Danbooru/Gelbooru tags (e.g. 1girl, solo, silver hair, blue eyes)
• Artist styles: Always prefix with @ (e.g. @artist_name) for accurate style guidance.
• Detailed prompts: The more descriptive and detailed the prompt, the better the background and composition.