Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
diffusers-training
Instructions to use pnfox/trainedmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pnfox/trainedmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pnfox/trainedmodel", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a latex catsuit" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 30b707a59e885c89829bc4d5a3ed2981a67feff8636f82dc572c8373fc02004e
- Size of remote file:
- 457 MB
- SHA256:
- f76a082fafdacc415c522c18c4f3b4624640e67ee62091780eb7291cd6121ba4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.