Instructions to use LanguageMachines/stable-diffusion-2-1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LanguageMachines/stable-diffusion-2-1-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LanguageMachines/stable-diffusion-2-1-base", 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
Commit ·
03a2827
1
Parent(s): 026639f
Update
Browse files- handler.py +1 -1
handler.py
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@@ -74,7 +74,7 @@ class EndpointHandler():
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with torch.inference_mode():
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prompt = "a photo of an astronaut riding a horse on mars"
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image = pipe([prompt]*batch_size, num_inference_steps=20)
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# image.save("astronaut_rides_horse.png")
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with torch.inference_mode():
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prompt = "a photo of an astronaut riding a horse on mars"
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image = self.pipe([prompt]*batch_size, num_inference_steps=20)
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# image.save("astronaut_rides_horse.png")
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