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
- Draw Things
- DiffusionBee
- Xet hash:
- 4b6833f4f5a63bea9ad8dbd24e1c0bcf7b397187b4aec2184343e82757136030
- Size of remote file:
- 335 MB
- SHA256:
- ed39fc57b0224dec2c0cc6f9a532633ccef89815e40b544a6b8f38f422023d8a
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