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:
- 924e1f4a8cfa79095050b3aa21a9e4046c636a530dddb719b4c832a865264624
- Size of remote file:
- 246 MB
- SHA256:
- b1b3093cd852df788feb7cbcaf3b76a973d6398d3dc2cabedc6ebf3c8798e836
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