Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
photography
new zealand
minnesota
Instructions to use EnD-Diffusers/photography-and-landscapes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/photography-and-landscapes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/photography-and-landscapes", dtype=torch.bfloat16, device_map="cuda") prompt = "phtdzk1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Photography And Landscapes Dreambooth model trained by Duskfallcrew with Hugging Face Dreambooth Training Space with the v1-5 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
1.5 Base model trained with a mix of hand picked images of Minnesota from the internet, and some stock images from unsplash plus local NZ photography by
https://unsplash.com/@duskfallcrew
Concept Tag:
phtdzk1
Coffee is nice:
https://ko-fi.com/DUSKFALLcrew
Model Updates on CivIt:
https://civitai.com/user/duskfallcrew
Sample Images Are available here
More sample images will be added to the folder with text files here:
phtdzk1 (use that on your prompt)
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