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:
- 768ea19f4ad9fce72b4423f43fd44bf215f7ca2cd14a53793d629157b9e50aa1
- Size of remote file:
- 457 MB
- SHA256:
- 1ce7b23866e2907a470feb292cc8b57b311024903a509ccc8bd8fd1e286dab51
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