Instructions to use vanes430/Anima-2.9B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use vanes430/Anima-2.9B-GGUF with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Diffusers
How to use vanes430/Anima-2.9B-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vanes430/Anima-2.9B-GGUF", 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
Upload README.md
Browse files
README.md
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---
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license: other
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license_name: circlestone-labs-non-commercial-license
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license_link: https://huggingface.co/circlestone-labs/Anima/resolve/main/LICENSE.md
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language:
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- en
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base_model:
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- Gazingstars123/Anima-2.9B
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library_name: diffusion-single-file
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tags:
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- text-to-image
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- anima
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- diffusers
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- gguf
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- comfyui
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pipeline_tag: text-to-image
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---
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# Anima-2.9B (GGUF Quantized Format)
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Quantized GGUF weights for **[Anima-2.9B by Gazingstars123](https://huggingface.co/Gazingstars123/Anima-2.9B)** for efficient inference in ComfyUI using [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF).
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---
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## 📌 Disclaimer & Attribution
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- **Original Model**: Developed by **[Gazingstars123](https://huggingface.co/Gazingstars123/Anima-2.9B)** based on [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima).
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- **Conversion**: Converted to GGUF format by **[vanes430](https://huggingface.co/vanes430)**.
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- **License**: [CircleStone Labs Non-Commercial License](https://huggingface.co/circlestone-labs/Anima/blob/main/LICENSE.md).
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Support original author: [Ko-fi](https://ko-fi.com/gazingstars) | [PayPal](https://paypal.me/gazingstars123)
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---
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## Available Quantizations
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| Filename | Quant Type | Size | Recommended VRAM | Quality |
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| :--- | :--- | :--- | :--- | :--- |
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| `Anima-2.9B-preview-v1-Q8_0.gguf` | Q8_0 | ~3.15 GB | 6GB+ | ⭐️ **Best Quality (Near Lossless)** |
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| `Anima-2.9B-preview-v1-Q5_0.gguf` | Q5_0 | ~2.10 GB | 4GB - 6GB | High Quality / Balanced |
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| `Anima-2.9B-preview-v1-Q4_0.gguf` | Q4_0 | ~1.75 GB | 4GB | Fast / Low VRAM |
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