Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use MaxReynolds/MyStreamlitModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaxReynolds/MyStreamlitModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MaxReynolds/MyStreamlitModel", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download val_imgs_grid.png from MaxReynolds/MyStreamlitModel: direct link, hf CLI and curl.
- Browser
- Download file 355 kB
-
https://huggingface.co/MaxReynolds/MyStreamlitModel/resolve/main/val_imgs_grid.png
- Command line
-
hf download hf://MaxReynolds/MyStreamlitModel/val_imgs_grid.png
-
curl -L -o val_imgs_grid.png https://huggingface.co/MaxReynolds/MyStreamlitModel/resolve/main/val_imgs_grid.png
355 kB
