Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use sitenote/face-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sitenote/face-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sitenote/face-model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of plstps" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bfe2fd759f396c25e65354e2d5589edf77257ecbfcb1afcb5983ea0ff0646f73
- Size of remote file:
- 492 MB
- SHA256:
- 2ae71af91d33375480e1457d7c8ee9d22353ed70081e9e32fa1577204d23bc06
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