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
- Draw Things
- DiffusionBee
- Xet hash:
- afe3bfa80acb559b8f1cb1f5c2049fd048a36e1c0bac1639454a4dd878d69895
- Size of remote file:
- 76.7 MB
- SHA256:
- 256f32e0d7a3b3e0bfc1bccd0bebb1fae952ef376c45216bff2e34c5589643a1
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