Instructions to use hf-internal-testing/tiny-krea2-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-krea2-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-krea2-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
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 569 Bytes
c8dc90b | 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 26 | {
"_class_name": "Krea2Transformer2DModel",
"_diffusers_version": "0.39.0.dev0",
"attention_head_dim": 8,
"axes_dims_rope": [
4,
2,
2
],
"in_channels": 16,
"intermediate_size": 32,
"norm_eps": 1e-05,
"num_attention_heads": 4,
"num_key_value_heads": 2,
"num_layers": 2,
"num_layerwise_text_blocks": 1,
"num_refiner_text_blocks": 1,
"num_text_layers": 12,
"rope_theta": 1000.0,
"text_hidden_dim": 16,
"text_intermediate_size": 16,
"text_num_attention_heads": 2,
"text_num_key_value_heads": 1,
"timestep_embed_dim": 8
}
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