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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
pytorch_model-00001-of-00003.safetensors
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oid sha256:95f499cd3d1bdf5302c24143569a5d16cd97f806754b541b6ada0e33fbc644e0
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oid sha256:ae3eb269d6454ce9414478bcb2ec9744469bc2bd08a1ebffe17bb75c8d3b6ec2
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size 9894773440
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oid sha256:6f0af77724a7dc8f39756025ea373a0ba47f94b38e7b6d0fa240a21d94686314
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size 7180971608
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