Instructions to use hdae/diffusers-anima-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hdae/diffusers-anima-preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hdae/diffusers-anima-preview", 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
File size: 487 Bytes
fc486e5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"_class_name": "AnimaPipeline",
"_diffusers_version": "0.36.0",
"prompt_tokenizer": [
null,
null
],
"scheduler": [
"diffusers_anima.schedulers.anima_flow_match_euler",
"AnimaFlowMatchEulerDiscreteScheduler"
],
"text_encoder": [
"transformers",
"Qwen3Model"
],
"transformer": [
"diffusers_anima.models.transformers.modeling_anima_transformer",
"AnimaTransformerModel"
],
"vae": [
"diffusers",
"AutoencoderKLQwenImage"
]
}
|