Instructions to use amd/stable-diffusion-1.5_io16_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/stable-diffusion-1.5_io16_amdgpu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amd/stable-diffusion-1.5_io16_amdgpu", 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:
- 4991b9145699f2c6582a2b149b53e695c58f0fbd7ee31c12718c9d05eb42b4f6
- Size of remote file:
- 68.4 MB
- SHA256:
- 635615ab283070d25d08c4adad86c387679abb8d8afa9c337b681f8cac2c6b2b
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