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
- Draw Things
- DiffusionBee
- Xet hash:
- 8f18f604e4026e2aae327f06f853eccb789ffb26ff4d4604be9a21b0c92e88a6
- Size of remote file:
- 246 MB
- SHA256:
- 58dc3d35aaeff5b944f209aeb4bfa6b25a6eabf66229bd8732c3034a00c31167
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