Instructions to use NoxiusEngine/Vivid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NoxiusEngine/Vivid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NoxiusEngine/Vivid", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
Browse filesHey NoxiusEngine 👋,
Your model repository seems to contain logic to load a feature extractor that is deprecated, which you should notice by seeing the warning:
```
transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn(
```
when running `pipe = DiffusionPipeline.from_pretrained(NoxiusEngine/Vivid)`.This PR makes sure that the warning does not show anymore by replacing `CLIPFeatureExtractor` with `CLIPImageProcessor`. This will certainly not change or break your checkpoint, but onlymake sure that everything is up to date.
Best, the 🧨 Diffusers team.
- model_index.json +3 -3
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@@ -3,8 +3,9 @@
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"_diffusers_version": "0.8.0",
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"feature_extractor": [
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"transformers",
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"
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],
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"safety_checker": [
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null,
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null
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@@ -28,6 +29,5 @@
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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"requires_safety_checker": false
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}
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"_diffusers_version": "0.8.0",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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],
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"requires_safety_checker": false,
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"safety_checker": [
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null,
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null
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"vae": [
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"diffusers",
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"AutoencoderKL"
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+
]
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}
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