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
| { | |
| "_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 | |
| } | |