Instructions to use sd-dreambooth-library/seraphm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/seraphm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/seraphm", 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
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (4e27423bc0c29cec815e350348f0f6692cb1cfab)1a7735d
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Rename ReadMe to README.md
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Rename School to ReadMe
8062edc
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School (#3)
- School (93500df29f1b942d647f4af10338ecb5bc461fc8) Co-authored-by: Enes Ciftci <Enes95190@users.noreply.huggingface.co>82b73da
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Update token_identifier.txt
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Update README.md
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Update README.md
1b3fb56 -
Update README.md
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Upload concept_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 text_encoder with huggingface_hub
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Upload scheduler with huggingface_hub
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Upload safety_checker with huggingface_hub
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Upload feature_extractor with huggingface_hub
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Upload the concept seraphm embeds and token
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initial commit
Minta K3d5720e