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 text_encoder/pytorch_model.bin from sairajg/Text_To_Image: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/sairajg/Text_To_Image/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sairajg/Text_To_Image/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sairajg/Text_To_Image/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 11b5bde68d9306171636a08a5445e433af9cb0575571a369083e0f6905f23854
- Size of remote file:
- 1.36 GB
- SHA256:
- e9c787e9388134c1a25dc69934a51a32a2683b38b8a9b017e1f3a692b8ed6b98
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