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
Update README.md
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by Narsil - opened
README.md
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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extra_gated_prompt: |-
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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The CreativeML OpenRAIL License specifies:
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- stable-diffusion
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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 high tech solarpunk utopia in the Amazon rainforest"
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example_title: Amazon rainforest
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- text: "A pikachu fine dining with a view to the Eiffel Tower"
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example_title: Pikachu in Paris
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- text: "A mecha robot in a favela in expressionist style"
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example_title: Expressionist robot
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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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example_title: Snowy disney cabin
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extra_gated_prompt: |-
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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The CreativeML OpenRAIL License specifies:
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