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:
- 9ee9f5ae4f25fca86726295c747008677984a71ca400e08c7a028f2d4a09ad15
- Size of remote file:
- 1.75 GB
- SHA256:
- f900d2a3fb47470e30c6efe19af844d83f4335d3adc9aa1dd195bbc1f0af54a8
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