Instructions to use blitzfa-software/sd-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blitzfa-software/sd-v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("blitzfa-software/sd-v1-5", 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
Update README.md
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README.md
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@@ -39,7 +39,6 @@ import torch
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pipe = StableDiffusionPipeline.from_pretrained(
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"benjamin-paine/stable-diffusion-v1-5",
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variant="fp16",
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torch_dtype=torch.float16
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)
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pipe = pipe.to("cuda")
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pipe = StableDiffusionPipeline.from_pretrained(
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"benjamin-paine/stable-diffusion-v1-5",
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torch_dtype=torch.float16
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)
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pipe = pipe.to("cuda")
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