Instructions to use 24aittl/control06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 24aittl/control06 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("24aittl/control06", 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
Ctrl+K
- 13000
- 16000
- 20000
- 26000
- 35000
- 38000
- 40000
- 49000
- bd
- dl6
- dl6_1024
- dl6_fine1024
- multi3_512
- multi4_768
- multi4_768_custom_2308_512
- multi4_768_custom_2308_512_custom
- multi4_768_custom_2308_512_inv
- multi4_768_custom_512_mod
- multi4_768_custom_512_sl
- multi4_768_inject
- multi4_768_inject_data
- multi4_768_inject_dis
- multi4_768_inject_dis_2308_512
- multi4_768_inject_dis_gen
- multi4_768_inject_dis_gen_1024
- multi4_768_inject_dis_gen_512
- multi4_768_inject_div
- multi4_768_inject_fix
- multi4_768_inject_our
- multi4_768_inject_yes
- multi4_768_noinject
- sl1_512
- sl2_1024
- test_1024
- 1.52 kB
- 474 Bytes