Instructions to use DmatryMakeev/asic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DmatryMakeev/asic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DmatryMakeev/asic", 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 .gitattributes from DmatryMakeev/asic: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/DmatryMakeev/asic/resolve/main/.gitattributes
- Command line
-
hf download hf://DmatryMakeev/asic/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/DmatryMakeev/asic/resolve/main/.gitattributes
118 Bytes
| model.fp16.safetensors filter=lfs diff=lfs merge=lfs -text | |
| pytorch_model.fp16.bin filter=lfs diff=lfs merge=lfs -text | |