Instructions to use JingyeChen22/textdiffuser2-full-ft-inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JingyeChen22/textdiffuser2-full-ft-inpainting 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-full-ft-inpainting", 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8327d5ca9359ed7cb5e02b96dbcb20acada9dce14f428a706788c8449a29b47a
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:19bade2f4b0621df83833e42fb62858f17488c8d1b701b1b18d5ccd804af9a77
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size 3438225152
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