Instructions to use CalamitousFelicitousness/Krea-2-Base-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Krea-2-Base-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CalamitousFelicitousness/Krea-2-Base-Diffusers", 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: 356 Bytes
a6af2f3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "Krea2Transformer2DModel",
"_diffusers_version": "0.39.0.dev0",
"bias": false,
"channels": 16,
"features": 6144,
"heads": 48,
"is_distilled": false,
"kvheads": 12,
"layers": 28,
"multiplier": 4,
"patch": 2,
"tdim": 256,
"theta": 1000.0,
"txtdim": 2560,
"txtheads": 20,
"txtkvheads": 20,
"txtlayers": 12
}
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