Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use CompVis/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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- stable-diffusion-diffusers
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- text-to-image
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widget:
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- text: "A
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example_title:
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- text: "A
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example_title:
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- text: "A
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example_title:
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- text: "an insect robot preparing a delicious meal"
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example_title: Insect robot
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- text: "A small cabin on top of a snowy mountain in the style of Disney, artstation"
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- stable-diffusion-diffusers
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- text-to-image
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widget:
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- text: "A misty forest at night"
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example_title: Misty forest
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- text: "A small ugly man with long white hair and beard"
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example_title: Geralt like
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- text: "A dressing looking like a witcher but woth two swords"
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example_title: Recreation of a character
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- text: "an insect robot preparing a delicious meal"
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example_title: Insect robot
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- text: "A small cabin on top of a snowy mountain in the style of Disney, artstation"
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