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 Settings
- Draw Things
- DiffusionBee
Download pytorch_model-00003-of-00003.bin from JingyeChen22/textdiffuser2_layout_planner: direct link, hf CLI and curl.
- Browser
- Download file 7.18 GB
-
https://huggingface.co/JingyeChen22/textdiffuser2_layout_planner/resolve/main/pytorch_model-00003-of-00003.bin
- Command line
-
hf download hf://JingyeChen22/textdiffuser2_layout_planner/pytorch_model-00003-of-00003.bin
-
curl -L -o pytorch_model-00003-of-00003.bin https://huggingface.co/JingyeChen22/textdiffuser2_layout_planner/resolve/main/pytorch_model-00003-of-00003.bin
7.18 GB
- Xet hash:
- a28ad1c6e4fb04b4a90256076a9125ee7ef298bdcefc09d0730485263a1922b3
- Size of remote file:
- 7.18 GB
- SHA256:
- 621323abc17186718c18e1a61f70ae649002e6a2c1d71498dfb3638c777aca64
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