Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/level_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/level_50 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/level_50", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v*> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 47045a3a15856010d34189b1b9a80fbef38621ca33bfa44b252def36eb5fc006
- Size of remote file:
- 102 MB
- SHA256:
- 6098fa1229fc8e7645ec52ddc9fd4f1f06517e3885e5b7ddaea3aa1a48ca2976
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.