Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use TPZZZ/save_path with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TPZZZ/save_path with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TPZZZ/save_path", 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:
- 20e929b39ba258dd372bd31e9fe7a8f19dca3b3137727afe0470475ba157d54f
- Size of remote file:
- 3.44 GB
- SHA256:
- dd02a1618ae0ac7dc9d5fa390a0756a0dc5f9f691925cd0fe46f72f6d80b89ce
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