Instructions to use piEsposito/openpotionbottle-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use piEsposito/openpotionbottle-v2 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-v2", 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
Download text_encoder/pytorch_model.bin from piEsposito/openpotionbottle-v2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/piEsposito/openpotionbottle-v2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://piEsposito/openpotionbottle-v2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/piEsposito/openpotionbottle-v2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 01b3b1e512e97e1fb5c6fcabac3e8903ba693931d0cf993d914f53c8f731b1b7
- Size of remote file:
- 492 MB
- SHA256:
- 48f3e007d65898d840837a406ed02f6f112a58820558ded41ac48110f38b59cd
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