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-ema-pruned.ckpt 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/ce197001f31a896b8e3601937c257128b4d3786b/v2-1_768-ema-pruned.ckpt
- Command line
-
hf download hf://sairajg/Text_To_Image@ce197001f31a896b8e3601937c257128b4d3786b/v2-1_768-ema-pruned.ckpt
-
curl -L -o v2-1_768-ema-pruned.ckpt https://huggingface.co/sairajg/Text_To_Image/resolve/ce197001f31a896b8e3601937c257128b4d3786b/v2-1_768-ema-pruned.ckpt
5.21 GB
- Xet hash:
- 6e2580efe6a6a157c8734b6b8ef4b880896ca443b04c68d03d6ea9b151db6a9e
- Size of remote file:
- 5.21 GB
- SHA256:
- ad2a33c361c1f593c4a1fb32ea81afce2b5bb7d1983c6b94793a26a3b54b08a0
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