Instructions to use CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-Preview-2-sdnext-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("CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers 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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: other | |
| license_name: circlestone-labs-non-commercial-license | |
| license_link: LICENSE.md | |
| library_name: diffusers | |
| tags: | |
| - diffusers | |
| - safetensors | |
| - diffusion-single-file | |
| - sdnext | |
| pipeline_tag: text-to-image | |
| # Anima Preview V2 β Diffusers Conversion | |
| Unofficial diffusers-format conversion of [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) **Preview V2** for use with [SD.Next](https://github.com/vladmandic/sdnext). | |
| ## What Is This | |
| This repo contains the **Preview V2** weights converted to the HuggingFace diffusers layout so they can be loaded directly with `from_pretrained`. The custom pipeline (`AnimaTextToImagePipeline`) and all non-transformer components (text encoder, VAE, tokenizers, LLM adapter, scheduler) are identical to the [Preview V1 diffusers conversion](https://huggingface.co/CalamitousFelicitousness/Anima-sdnext-diffusers) β only the transformer (diffusion model) weights differ. | |
| ## Preview V2 Improvements | |
| From the upstream model card: | |
| - **Retraining with better hyperparameters** β makes the model more robust to finetuning | |
| - **Extended medium-resolution training** β longer training at medium resolutions for more character knowledge | |
| - **Regularization dataset** β improves natural language comprehension and preserves non-anime knowledge | |
| - **Base model philosophy** β no aesthetic tuning; maximum knowledge breadth over aesthetic consistency | |
| ## Usage with SD.Next | |
| Select this repo as your model in SD.Next β it will be loaded automatically via the Anima pipeline. | |
| ## Generation Settings | |
| - **Resolution**: ~1 MP (1024Γ1024, 896Γ1152, 1152Γ896, etc.) | |
| - **Steps**: 30β50 | |
| - **CFG**: 4β5 | |
| - **Samplers**: `er_sde` (default), `euler_a`, `dpmpp_2m_sde_gpu` | |
| ## Credits | |
| - **Model**: [CircleStone Labs](https://huggingface.co/circlestone-labs) & [Comfy Org](https://huggingface.co/comfyanonymous) | |
| - **Architecture**: Derivative of [NVIDIA Cosmos-Predict2-2B](https://huggingface.co/nvidia/Cosmos-Predict2-2B-Text2Image) with Qwen3-0.6B text encoder | |
| - **Conversion**: Automated via `diffusers.CosmosTransformer3DModel.from_single_file()` | |
| ## License | |
| Non-commercial use only β see [LICENSE.md](LICENSE.md). Subject to [CircleStone Labs Non-Commercial License](https://huggingface.co/circlestone-labs/Anima/blob/main/LICENSE.md) and NVIDIA Open Model License Agreement. | |