Instructions to use plasmo/voxel-ish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/voxel-ish with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/voxel-ish", 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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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (9e36f80dcd065a1b0b0ef20ba267aab07df9a6a7) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>844c9be
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (4a61285ec1a8d7655180e7539b9a89b5c79900d1) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>7f6b1d2
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (48e8d3a74774f640e5147801d87d1fb4375057bc) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>3547714
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