Instructions to use piEsposito/openpotionbottle-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use piEsposito/openpotionbottle-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("piEsposito/openpotionbottle-v1", 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`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (a3b69837a9444cc09c71e2dc8566786e5c98c442)385b74e
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#1)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (687d9373f6d3ab418981a8b4f29ce3835df1efd5) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>57e7fb3
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Upload fantasy dragon as potionbottle, perfectly ornated, intricate details, 3d render vray, beautiful, trending on artstation.png
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initial commit
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