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:
- 14a08e30918aabc13202d162c62efdb0fe641256d864c1c4e373c2a846b55747
- Size of remote file:
- 457 MB
- SHA256:
- 90300304261f2293c8ddf0e689b246845b7ce6ae530bd6f4eff79f6f7ab558c8
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