Instructions to use yujiepan/stable-diffusion-3-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yujiepan/stable-diffusion-3-tiny-random with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yujiepan/stable-diffusion-3-tiny-random", 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
Update README.md
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README.md
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@@ -17,7 +17,7 @@ pipe = pipe.to("cuda")
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image = pipe(
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"A cat holding a sign that says hello world",
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negative_prompt="",
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num_inference_steps=
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guidance_scale=7.0,
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).images[0]
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image
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image = pipe(
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"A cat holding a sign that says hello world",
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negative_prompt="",
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num_inference_steps=2,
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guidance_scale=7.0,
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).images[0]
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image
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