Instructions to use vaishnavia40/stable-diffusion-stack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vaishnavia40/stable-diffusion-stack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vaishnavia40/stable-diffusion-stack", 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
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Download README.md from vaishnavia40/stable-diffusion-stack: direct link, hf CLI and curl.
- Browser
- Download file 1.19 kB
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https://huggingface.co/vaishnavia40/stable-diffusion-stack/resolve/main/README.md
- Command line
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hf download hf://vaishnavia40/stable-diffusion-stack/README.md
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curl -L -o README.md https://huggingface.co/vaishnavia40/stable-diffusion-stack/resolve/main/README.md
1.19 kB
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| ### Stable-diffusion-stack Dreambooth model trained by vaishnavia40 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook | |
| Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb) | |
| Sample pictures of this concept: | |
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