Text-to-Image
Diffusers
Safetensors
English
stable-diffusion
stable-diffusion-diffusers
artwork
HDR photography
photos
Instructions to use Dunkindont/Foto-Assisted-Diffusion-FAD_V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dunkindont/Foto-Assisted-Diffusion-FAD_V0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Dunkindont/Foto-Assisted-Diffusion-FAD_V0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
License
#5
by e39324q - opened
Hi, I would love to train on Dreambooth with this model as the base.
You mentioned that you merged a trained model with another model for illustration. Was that illustration model also released under creativeml-openrail-m license? and also if that illustration model or this model contains any other model other than base SD 1.5
I wanted to see if it is possible to use it for commercial purposes.