Instructions to use plasmo/clayitization-sd2-1-768px with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/clayitization-sd2-1-768px with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/clayitization-sd2-1-768px", dtype=torch.bfloat16, device_map="cuda") prompt = "clayitization " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (352f37f5a83ad80a4594949a4b248554da56a754) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>f05da5e
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Upload clayitization-SD2.1-768px.yaml
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Upload sample_images with huggingface_hub
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Upload model_index.json with huggingface_hub
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Upload vae with huggingface_hub
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Upload unet with huggingface_hub
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Upload tokenizer with huggingface_hub
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Upload the concept clayitization-SD2.1-768px embeds and token
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initial commit
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