Instructions to use adtyn1345/Image_Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adtyn1345/Image_Generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("adtyn1345/Image_Generator", 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 rxm.ckpt from adtyn1345/Image_Generator: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/adtyn1345/Image_Generator/resolve/main/rxm.ckpt
- Command line
-
hf download hf://adtyn1345/Image_Generator/rxm.ckpt
-
curl -L -o rxm.ckpt https://huggingface.co/adtyn1345/Image_Generator/resolve/main/rxm.ckpt
2.13 GB
- Xet hash:
- 3a09c039c63330b6ef48597ad37e222eec4320d0ae0434831e9dd0958f0464c8
- Size of remote file:
- 2.13 GB
- SHA256:
- ff8608da1a0c7466dd79bb1e3f99841bbdfa01b5c6d22620869756a35e0b26c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.