Instructions to use YaYaB/sd-magic-diffusers-test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YaYaB/sd-magic-diffusers-test2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YaYaB/sd-magic-diffusers-test2", 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`. (ab32d96202185bb99f3ad9e0aee3bbf80e74fd50) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>a9b7610
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (1168049838814f84e1a7c3694b322d720bf63e7c) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>ddc4d48
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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. (c3f0036f4550732627fcbf87c3a21e823f347da0) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>82af025
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initial commit
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