Instructions to use CalamitousFelicitousness/Anima-1.0-Base-sdnext-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-1.0-Base-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-1.0-Base-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] - Cosmos
How to use CalamitousFelicitousness/Anima-1.0-Base-sdnext-diffusers with Cosmos:
# 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
- Draw Things
- DiffusionBee
Anima 1.0 Base (SD.Next Diffusers Conversion)
Diffusers-format conversion of Anima 1.0 Base for use with SD.Next.
Original model: circlestone-labs/Anima (split_files/diffusion_models/anima-base-v1.0.safetensors)
Architecture
- Transformer: CosmosTransformer3DModel (2B params, 28 layers)
- Text Encoder: Qwen3-0.6B (replacing Cosmos T5-11B)
- LLM Adapter: Custom cross-attention adapter bridging Qwen3 to the transformer
- VAE: AutoencoderKLWan
- Downloads last month
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Model tree for CalamitousFelicitousness/Anima-1.0-Base-sdnext-diffusers
Base model
circlestone-labs/Anima
# 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