Instructions to use ULZIITOGTOKH/road_obstacles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ULZIITOGTOKH/road_obstacles with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ULZIITOGTOKH/road_obstacles", 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
Commit History
-
Epoch 3250
Verified signaturedd04a7b
-
Epoch 2000
Verified signature976326a
-
Epoch 1000
Verified signature74c6870 -
Epoch 1000
Verified signaturef52b843
-
Epoch 1000
Verified signaturee0fdda6 -
Epoch 1000
Verified signaturedcd8e00
-
Epoch 1000
Verified signature823cab3
-
Epoch 999
Verified signature0f4ccf4