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 Settings
- Draw Things
- DiffusionBee
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# Foto Assisted Diffusion (FAD)_V0 This model is meant to mimic a modern HDR photography style. It was trained on 600 HDR images on SD1.5 and works best at **768x768**. Merged with one of my own models for illustrations and drawings, to increase flexibility. # Features: * **No additional licensing** * **Multi-resolution support** * **HDR Photorealistic Outputs** * [**Spreadsheet with many example prompts, supported resolutions, keywords for prompting and other useful hints/tips**](https://docs.google.com/spreadsheets/d/1RGRLZhgiFtLMm5Pg8qK0YMc6wr6uvj9-XdiFM877Pp0/edit?usp=sharing) Below you will find some example cards that this model is capable of outputting: ## 768x768 Food <img src="https://huggingface.co/Dunkindont/Foto-Assisted-Diffusion-FAD_V0/resolve/main/768x768%20Food.jpg" style="max-width: 800px;" width="100%"/> ## 768x768 Landscapes <img src="https://huggingface.co/Dunkindont/Foto-Assisted-Diffusion-FAD_V0/resolve/main/768x768%20Landscapes.jpg" style="max-width: 800p…e7e2d7d -
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