Instructions to use vladmandic/Anima-1.0-Base-Merge-sdnq-hadamard-uint4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/Anima-1.0-Base-Merge-sdnq-hadamard-uint4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/Anima-1.0-Base-Merge-sdnq-hadamard-uint4", 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
| { | |
| "_class_name": "AnimaTextToImagePipeline", | |
| "_diffusers_version": "0.39.0.dev0", | |
| "_name_or_path": "vladmandic/Anima-1.0-Base", | |
| "llm_adapter": [ | |
| "modeling_llm_adapter", | |
| "AnimaLLMAdapter" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "t5_tokenizer": [ | |
| "transformers", | |
| "T5Tokenizer" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3Model" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2Tokenizer" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "CosmosTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLWan" | |
| ] | |
| } | |