Instructions to use Pyro99X/DB_model_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pyro99X/DB_model_3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pyro99X/DB_model_3", 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
| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| This is a custom checkpoint of Draembooth Trained on selfies | |
| ## Description | |
| This is a custom checkpoint of Dreambooth Trained on images taken on a smartphone camera | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| pipeline = StableDiffusionPipeline.from_pretrained('Pyro99X/DB_model_3') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |