Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
image-to-image
Instructions to use rrustom/stable-architecture-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rrustom/stable-architecture-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rrustom/stable-architecture-diffusers", 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
Create README.md
Browse files
README.md
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---
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language:
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- en
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- image-to-image
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datasets:
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- rrustom/architecture2022clean
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pipeline_tag: image-to-image
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---
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