Instructions to use amd/stable-diffusion-1.5_io32_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_io32_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_io32_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
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Model: Stable Diffusion 1.5
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Base Model: https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5
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license: unknown
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Version: 1.0
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Optimizations: MHA, GEMM RS, FP32 Cast
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last updated: 01/23/2025
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Inference Parameters
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Scheduler: DDIM
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Width x Height: 512x512
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Inference Steps: 30
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Guidance Scale: 7.5
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