Instructions to use Norod78/sd15-muppet-blip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/sd15-muppet-blip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Norod78/sd15-muppet-blip", dtype=torch.bfloat16, device_map="cuda") prompt = "A painting of Cthulhu as kermit the frog, very detailed, clean, high quality, sharp image, based on H.P Lovecraft stories" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (bbd77f35049a655a4de3fc2ffae523357e60bec3) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>f73d206
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (724927b943e8f795f5b9844b87c3fe7ec37d83d8) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>5daa01a
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Delete placeholder file
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Update README.md
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Update README.md
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sample images
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sd15-muppet-blip
Doron Adler171c803 -
initial commit
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