Instructions to use gulucaptain/Dynamictrl-Mask_C01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gulucaptain/Dynamictrl-Mask_C01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gulucaptain/Dynamictrl-Mask_C01", 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
- Xet hash:
- 0789ddd554cd48f0f796400e06f928a7b88152252339b098ef91d89eac139d22
- Size of remote file:
- 11.5 GB
- SHA256:
- 5d9825ba65a7aa44e18315180a5ae551a618e2eacbc84ab09631292ac4275c03
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.