Instructions to use Rin247/Anima-Turbo-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/Anima-Turbo-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rin247/Anima-Turbo-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Rin247/Anima-Turbo-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 2.13 kB
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https://huggingface.co/Rin247/Anima-Turbo-Diffusers/resolve/main/README.md
- Command line
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hf download hf://Rin247/Anima-Turbo-Diffusers/README.md
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curl -L -o README.md https://huggingface.co/Rin247/Anima-Turbo-Diffusers/resolve/main/README.md
2.13 kB
| tags: | |
| - quantized | |
| - safetensors | |
| - diffusers | |
| - mecha | |
| - weight-only | |
| - image | |
| - text-to-image | |
| library_name: diffusers | |
| # Anima-Turbo-Diffusers | |
| Quantised media packages of [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) (Anima 1.0 Turbo, v1.1 weights). | |
| ## MECHA Forge | |
| MECHA — Model Engineering & Contextual Hearth Assembly | |
| These media packages have been forged and optimized in the MECHA Forge. | |
| Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment. | |
| ## Description | |
| Anima 1.0 Turbo (v1.1 weights): distilled 2B-parameter anime/illustration text-to-image model (Cosmos-based). Fast generation with increased stability and a strong default style, at some cost to diversity. Uses a Qwen3-0.6B text encoder and the Qwen-Image VAE. | |
| ## Available quantizations | |
| | Quant | Denoiser | Text encoder | VAE | | |
| |---|---|---|---| | |
| | FP4 | FP4 | FP4 | FP8 | | |
| | FP8 | FP8 | FP8 | FP8 | | |
| | INT4 | INT4 | INT4 | INT8 | | |
| | INT8 | INT8 | INT8 | INT8 | | |
| The VAE is shared between formats: FP4 reuses the FP8 file, INT4 reuses the INT8 file. | |
| ## Recommended settings | |
| From the source model card (adjust to taste): | |
| | Parameter | Value | | |
| |---|---| | |
| | Steps | 8-12 | | |
| | CFG / Guidance scale | 1.0 | | |
| | Resolution | 512-1536 (total pixels) | | |
| | Notes | Distilled; few-step sampling; CFG 1 | | |
| ## Example prompts | |
| Caught in the moment (candid, slice of life): | |
| ``` | |
| masterpiece, best quality, score_7, safe, 1girl, solo, long hair, blue | |
| eyes, white blouse, pleated skirt, looking at viewer, gentle smile, | |
| smiling, city lights at night, soft bokeh, anime illustration. | |
| ``` | |
| Fashion photography (magazine cover style): | |
| ``` | |
| masterpiece, best quality, score_7, safe, 1boy, solo, short dark hair, | |
| sharp jawline, tailored navy suit, open-collar white shirt, studio rim | |
| lighting, bold serif typography, high contrast, cinematic, 8K, sharp | |
| focus, GQ editorial. | |
| ``` | |
| Scenery: | |
| ``` | |
| masterpiece, best quality, score_7, safe, scenery, misty mountain ridge | |
| at dawn, pine forests below, low clouds drifting through the valley, | |
| first light on snow-capped peaks, anime illustration, wide angle, 8K. | |
| ``` | |