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
Create model_index.json
#3
by Thafx - opened
Required in this location to build a Space from this model.
Thafx changed pull request status to closed
Thafx changed pull request status to open
The index file is inside the two diffuser folders labeled 512 and 768. They were made for training purposes.
Choose which resolution you want to train with, I suggest the latter
Dunkindont changed pull request status to closed