Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use pythonwizard/dog_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pythonwizard/dog_output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pythonwizard/dog_output", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 807dadff6a5e870f4bfc36199666095f252953cb7af9b37896f904fdd1edb2f1
- Size of remote file:
- 1.72 GB
- SHA256:
- f8fb2a32237511dd81b1748ce30a8474f15dd4c64b9c6c77f2d28799a14c6cdf
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