Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use Someman/bird-danphe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Someman/bird-danphe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Someman/bird-danphe", dtype=torch.bfloat16, device_map="cuda") prompt = "a big dog with danphe face" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusion-models-class | |
| - dreambooth-hackathon | |
| - wildcard | |
| widget: | |
| - text: a big dog with danphe face | |
| # DreamBooth model for the bird concept trained by Someman on the Someman/danphe dataset. | |
| This is a Stable Diffusion model fine-tuned on the bird concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of bird danphe** | |
| This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part! | |
| ## Description | |
| This is a Stable Diffusion model fine-tuned on `danphe` images for the wildcard theme. | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| pipeline = StableDiffusionPipeline.from_pretrained('Someman/bird-danphe') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |