Instructions to use Duskfallcrew/duskfalltest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Duskfallcrew/duskfalltest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Duskfallcrew/duskfalltest", dtype=torch.bfloat16, device_map="cuda") prompt = "duskypie" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add `scale_factor` to vae config. (#5)
- Add `scale_factor` to vae config. (f8dddcbe4df69b27d91d246d7c7744d504599340) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>b8f1290 -
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Final nail in the coffin, xD asking for people to be nice. HMPH! Anyways, was just cleaning up the public face image wanna make the mode public to test it morecb6932c -
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Didn't want this specific artwork in the public data set, oops XDe832ee0 -
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Fixing it to go public cause WHY NOT XD1db7c1e -
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Finally figured out how to format teh card XD806b81f -
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Testing trying to add sample outputsa408e04 -
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Upload concept_images with huggingface_hub
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initial commit
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