Instructions to use DaniloTrotta/TestDeleV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DaniloTrotta/TestDeleV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DaniloTrotta/TestDeleV2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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add inference yaml
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Update inpainting model (perfection here)
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (c3fa8ed421f40447a5fe7512ae1c0d0c67f236c5) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>b6f1c35
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v1.1 (already includes VAE)
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Add Diffusers weights (#1)
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Release
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initial commit
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