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", torch_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
metadata
library_name: diffusers
base_models:
- runwayml/stable-diffusion-v1-5
- lllyasviel/ControlNet
pipeline_tag: image-to-text
Prompt diffusion converted to Diffusers.