Instructions to use DesignAndProd/FAD_V0_768_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DesignAndProd/FAD_V0_768_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DesignAndProd/FAD_V0_768_Diffusers", 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
- Draw Things
- DiffusionBee
- Xet hash:
- a978e83099ff64e983cb106fff9932b1671534684c1f9c659ded848625fa6f75
- Size of remote file:
- 3.44 GB
- SHA256:
- 48da61dff5f4cb93274e083923a65e3ea1247ba19b7fb3f9e77157a661191f18
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.