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
- Xet hash:
- b8ea7a2d1dc2ccd7401a987e866b17cb8499cec9a1cde3046e9b182e50876570
- Size of remote file:
- 335 MB
- SHA256:
- f3d17aa398e021a2600c4a8b570060056a069a1b7b6f8ace78ffa52fff69395d
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