Instructions to use stronman/fake_dummy_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stronman/fake_dummy_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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stronman/fake_dummy_model") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 346 Bytes
c0c7b6e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/99ef1185-8434-462d-bb63-d5313abdebbf.png
text: '-'
base_model: ''
instance_prompt: null
---
# fake_dummy_model
<Gallery />
## Download model
[Download](/stronman/fake_dummy_model/tree/main) them in the Files & versions tab.
|