Instructions to use kandinsky-community/kandinsky-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinsky-community/kandinsky-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kandinsky-community/kandinsky-3", 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: 322 Bytes
3e5316f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"_class_name": "Kandinsky3UNet",
"_diffusers_version": "0.24.0.dev0",
"attention_head_dim": 64,
"block_out_channels": [
384,
768,
1536,
3072
],
"cross_attention_dim": 4096,
"encoder_hid_dim": 4096,
"groups": 32,
"in_channels": 4,
"layers_per_block": 3,
"time_embedding_dim": 1536
}
|