Instructions to use wanhin/StableDiffusion-Text2Poster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wanhin/StableDiffusion-Text2Poster with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wanhin/StableDiffusion-Text2Poster", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0fd834d56692c5aab0560dcb55e83573c522c3f944130a81aa063d1a5b6a5c1c
- Size of remote file:
- 3.46 GB
- SHA256:
- 96ebf655f21d1d25caef2b054072e550fd2255cf297ab41ffe89faf8566fb090
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