Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
art
digital art
stable diffusion
Instructions to use EnD-Diffusers/duskfall-s-general-digital-art-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/duskfall-s-general-digital-art-model 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/duskfall-s-general-digital-art-model", dtype=torch.bfloat16, device_map="cuda") prompt = "gendigi" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Duskfall's General Digital Art Model 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!
This model is now at: CivitAi- General Digital Art Model
It will always stay at HF, but this is where you can see the outputs!
We stream a lot of our testing on twitch: https://www.twitch.tv/duskfallcrew
If you want to donate towards costs and don't want to subscribe:
https://ko-fi.com/DUSKFALLcrew
If you want to monthly support the EARTH & DUSK media projects and not just AI:
https://www.patreon.com/earthndusk
gendigi (use that on your prompt)
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