Instructions to use anupamtripathi/model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anupamtripathi/model_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anupamtripathi/model_2", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a Oculus device" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- e5164662cb177830adf468fe425d5333c43d1c5b61eae2df925a8ac34ad8f152
- Size of remote file:
- 6.85 MB
- SHA256:
- 672aea6511e59d9c550cf5daea4b3bd1d4c2cf9fc388b5ddbdc537e68ba10b4b
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