Instructions to use no3/ridley-at3-beta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use no3/ridley-at3-beta2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("no3/ridley-at3-beta2", 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`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (f9c5737f17b425fa7a66bc3c6da996ca6c5899aa)35128b2
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Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (7827319bc9b206cee6f57bb8e5e3e5bca4f0d756) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>e3debcb
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#2)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (00546588ac7be98ed7b093a7c9d358817b898af4) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>badd475
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Update README.md
8882071
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#1)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (871c9697a1f61133e63348237c8fc9a80c734b96) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>9c72372
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Update README.md
11eb6e3 -
upload ckpt file
078d4fe -
frist commit
985a955 -
initial commit
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