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:
- 981538b066b3b80a6b7dd07e6249afd89cc611a731f97bd2e347467a12596065
- Size of remote file:
- 3.44 GB
- SHA256:
- a45a0a4287d2009887d5f305a61c85660c16261d1d5662d842725d03220e333a
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