Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/the-pruned-stable-diffusi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/the-pruned-stable-diffusi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/the-pruned-stable-diffusi", 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:
- d39b22183925e0820e9aef50802e5be6b9b45b1fe8e702de677015ef40546375
- Size of remote file:
- 5.14 GB
- SHA256:
- 6d0ea2a1baa44cad0a5e41fdb82b88e5cfac6824b7f2ecf1fd5ad21a7666d8c0
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