Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use tonyshark/dog-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonyshark/dog-example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonyshark/dog-example", dtype=torch.bfloat16, device_map="cuda") prompt = "orange dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 51f8317387125c98c35cba14874ecd30d749bd33d272daab0464f2dd7f939a2d
- Size of remote file:
- 20.8 kB
- SHA256:
- b1ab1a3c4ba0a281f5564d27ad63ef516dfc8b21847b184990af3338a15cd1f3
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