Instructions to use zhendongw/prompt-diffusion-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhendongw/prompt-diffusion-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhendongw/prompt-diffusion-diffusers", 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:
- 62c830e819ad53c44ad3f654faec5f5759e94d16cb477bb8fb80f1695134a38a
- Size of remote file:
- 492 MB
- SHA256:
- 4b2a888f98b610f4666b5323f4012475cc752183ce3bbec3ccf25cf32cec03d7
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