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: 328 Bytes
2e54bf5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_class_name": "DDPMScheduler",
"_diffusers_version": "0.17.0.dev0",
"num_train_timesteps": 1000,
"beta_schedule": "squaredcos_cap_v2",
"beta_start": 0.00085,
"beta_end":0.012,
"clip_sample" : true,
"set_alpha_to_one" : false,
"steps_offset" : 1,
"prediction_type" : "epsilon",
"thresholding" : false
} |