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-00002-of-00003.bin from JingyeChen22/textdiffuser2_layout_planner: direct link, hf CLI and curl.
- Browser
- Download file 9.89 GB
-
https://huggingface.co/JingyeChen22/textdiffuser2_layout_planner/resolve/main/pytorch_model-00002-of-00003.bin
- Command line
-
hf download hf://JingyeChen22/textdiffuser2_layout_planner/pytorch_model-00002-of-00003.bin
-
curl -L -o pytorch_model-00002-of-00003.bin https://huggingface.co/JingyeChen22/textdiffuser2_layout_planner/resolve/main/pytorch_model-00002-of-00003.bin
9.89 GB
- Xet hash:
- 05981438ed330006835772d325db50556fdeea50e11df0b23ff4835c73d3d39e
- Size of remote file:
- 9.89 GB
- SHA256:
- 899f2dffbb3988d1d5018fabb7d4f811d507ba53a49f963cb563ab0b0a85d4b3
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