Instructions to use sairajg/Text_To_Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sairajg/Text_To_Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sairajg/Text_To_Image", 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 v2-1_768-nonema-pruned.safetensors from sairajg/Text_To_Image: direct link, hf CLI and curl.
- Browser
- Download file 5.21 GB
-
https://huggingface.co/sairajg/Text_To_Image/resolve/main/v2-1_768-nonema-pruned.safetensors
- Command line
-
hf download hf://sairajg/Text_To_Image/v2-1_768-nonema-pruned.safetensors
-
curl -L -o v2-1_768-nonema-pruned.safetensors https://huggingface.co/sairajg/Text_To_Image/resolve/main/v2-1_768-nonema-pruned.safetensors
5.21 GB
- Xet hash:
- 6b4ab1b456874165322a7802514453d3c9bc447e11e9deca94fdffb8b7ec6e33
- Size of remote file:
- 5.21 GB
- SHA256:
- ff144a49841cf383adbc68841272ce639e1032b0a1f0f6586347feb953c244f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.