Instructions to use JingyeChen22/textdiffuser2_layout_planner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JingyeChen22/textdiffuser2_layout_planner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JingyeChen22/textdiffuser2_layout_planner", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0e4e94ed448a414198f1007c5ff872fddcfd30ecffb29e6a2c0545a4b33dc804
- Size of remote file:
- 3.71 kB
- SHA256:
- 43e7d0290e998eeed248ddf3776fd5ab72c8137d4cfaaba831ad08a833afbd4a
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