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
Upload README.md with huggingface_hub
Browse files
README.md
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# Anima-Turbo-Diffusers
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Quantised media packages of
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## MECHA Forge
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These media packages have been forged and optimized in the MECHA Forge.
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Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment.
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## Available quantizations
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| Quant | Denoiser | Text encoder | VAE |
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| INT8 | INT8 | INT8 | INT8 |
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The VAE is shared between formats: FP4 reuses the FP8 file, INT4 reuses the INT8 file.
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# Anima-Turbo-Diffusers
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Quantised media packages of [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) (Anima 1.0 Turbo, v1.1 weights).
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## MECHA Forge
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These media packages have been forged and optimized in the MECHA Forge.
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Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment.
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## Description
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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.
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## Available quantizations
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| Quant | Denoiser | Text encoder | VAE |
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| INT8 | INT8 | INT8 | INT8 |
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The VAE is shared between formats: FP4 reuses the FP8 file, INT4 reuses the INT8 file.
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## Recommended settings
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From the source model card (adjust to taste):
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| Parameter | Value |
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|---|---|
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| Steps | 8-12 |
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| CFG / Guidance scale | 1.0 |
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| Resolution | 512-1536 (total pixels) |
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| Notes | Distilled; few-step sampling; CFG 1 |
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## Example prompts
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Caught in the moment (candid, slice of life):
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```
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masterpiece, best quality, score_7, safe, 1girl, solo, long hair, blue
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eyes, white blouse, pleated skirt, looking at viewer, gentle smile,
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smiling, city lights at night, soft bokeh, anime illustration.
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```
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Fashion photography (magazine cover style):
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```
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masterpiece, best quality, score_7, safe, 1boy, solo, short dark hair,
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sharp jawline, tailored navy suit, open-collar white shirt, studio rim
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lighting, bold serif typography, high contrast, cinematic, 8K, sharp
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focus, GQ editorial.
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```
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Scenery:
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```
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masterpiece, best quality, score_7, safe, scenery, misty mountain ridge
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at dawn, pine forests below, low clouds drifting through the valley,
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first light on snow-capped peaks, anime illustration, wide angle, 8K.
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```
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