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", torch_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: 162 Bytes
0357027 | 1 2 3 4 5 6 7 8 9 10 | {
"bos_token_id": 1,
"eos_token_id": 2,
"max_length": 4096,
"pad_token_id": 0,
"temperature": 0.9,
"top_p": 0.6,
"transformers_version": "4.28.1"
}
|