Instructions to use SimonDL/ip2p-tt-model-1e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimonDL/ip2p-tt-model-1e with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SimonDL/ip2p-tt-model-1e", 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
- Xet hash:
- fb764a65e2e87a91252b3c3e63c9e18d2b725f92c946127efb4886b50e746ba5
- Size of remote file:
- 1.75 GB
- SHA256:
- 79e745a42f428a1534ad681028b4b6f3a01e3efd929e56a2e899e168c5b82040
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