Instructions to use MuhammadHanif/stable-diffusion-v1-5-high-res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MuhammadHanif/stable-diffusion-v1-5-high-res with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MuhammadHanif/stable-diffusion-v1-5-high-res", 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:
- d7d9296ac5037243c012f29ba30d102f1d12224bd189db153741752a66bab97a
- Size of remote file:
- 335 MB
- SHA256:
- 89d03ed60a065d0a08fb5001f87c17ab4bde30744ef9b860d0c6d620d5e013b5
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