Instructions to use tensor-diffusion/real-not-real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensor-diffusion/real-not-real with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tensor-diffusion/real-not-real", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0f41f2f6d677dd6977fe6a9b1b146c9df11c63423e86ab776f57da78c94e7103
- Size of remote file:
- 167 MB
- SHA256:
- e85b4f196dc3cdaaf780e4f2fe11e2711096c58e6ce79372f96be38086e3678c
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