Text-to-Image
Diffusers
English
StableDiffusionPipeline
dreambooth
stable-diffusion
stable-diffusion-diffusers
Instructions to use lambda/dreambooth-avatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/dreambooth-avatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lambda/dreambooth-avatar", 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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README.md
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## About
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Put in a text prompt and generate your own Avatar style image!
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If you want to find out how to train your own Dreambooth Style, see this example (link lambda blog)
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> descriptions?
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## Usage
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## About
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This text-to-image stable diffusion model was trained with dreambooth.
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Put in a text prompt and generate your own Avatar style image!
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## Usage
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