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 Settings
- Draw Things
- DiffusionBee
Commit ·
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Parent(s): a36935a
Update README.md
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README.md
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@@ -21,6 +21,8 @@ This model is now at: [CivitAi- General Digital Art Model](https://civitai.com/m
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It will always stay at HF, but this is where you can see the outputs!
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If you want to donate towards costs and don't want to subscribe:
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https://ko-fi.com/DUSKFALLcrew
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It will always stay at HF, but this is where you can see the outputs!
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We stream a lot of our testing on twitch: https://www.twitch.tv/duskfallcrew
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If you want to donate towards costs and don't want to subscribe:
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https://ko-fi.com/DUSKFALLcrew
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