Instructions to use Superstarimage/DGRSISE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Superstarimage/DGRSISE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Superstarimage/DGRSISE", 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
Download controlnet/model_ip-adapter from Superstarimage/DGRSISE: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/Superstarimage/DGRSISE/resolve/main/controlnet/model_ip-adapter
- Command line
-
hf download hf://Superstarimage/DGRSISE/controlnet/model_ip-adapter
-
curl -L -o model_ip-adapter https://huggingface.co/Superstarimage/DGRSISE/resolve/main/controlnet/model_ip-adapter
102 MB
- Xet hash:
- 668ae7d2409db02f345ffa098c535793893e683ca2cc7e8ab8b8c5b7786fd461
- Size of remote file:
- 102 MB
- SHA256:
- c99c89882aeb45826f0533e8b09f12488d2056c98b8c453e263e428a4869d733
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