How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Duskfall_Portraits_Epic_Train", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Open In Spaces

Duskfall-Alter-Test-V2 Dreambooth model trained by Duskfallcrew with TheLastBen's fast-DreamBooth notebook

Test the concept via A1111 Colab fast-Colab-A1111

If you want to donate towards costs and don't want to subscribe:

https://ko-fi.com/DUSKFALLcrew

Sample Images Are available here

Text files are in the file here: https://huggingface.co/Duskfallcrew/Duskfall_Portraits_Epic_Train/tree/main/Epic%20Train%20Samples

duskfll 0 duskfll 0 duskfll 0

This was trained on Epic Diffusion because for some reason it wasn't letting me use Never Ending Dream.

dskfll SHOULD be the token

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