Instructions to use hf-internal-testing/tiny-anima-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-anima-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-anima-modular-pipe", 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: 325 Bytes
0711b50 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "AnimaTextConditioner",
"_diffusers_version": "0.40.0.dev0",
"min_sequence_length": 16,
"mlp_ratio": 4.0,
"model_dim": 16,
"num_attention_heads": 4,
"num_layers": 2,
"source_dim": 16,
"target_dim": 16,
"target_vocab_size": 32128,
"use_layer_norm": false,
"use_self_attention": true
}
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