Instructions to use nitrosocke/Nitro-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/Nitro-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/Nitro-Diffusion", 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`.
Hey nitrosocke 👋, 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(nitrosocke/Nitro-Diffusion)`.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.c001a6f
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Adding `safetensors` variant of this model (#16)
- Adding `safetensors` variant of this model (cc2a4ef4fa23db1965d6770ce0cb862dd5319f78)70e3387
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Add `scale_factor` to vae config. (#13)
- Add `scale_factor` to vae config. (c7ccbb5e9f038bbd0bc1069c1fc9c21aaa2fc739) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>f522dd7 -
Adding `safetensors` variant of this model (#15)
- Adding `safetensors` variant of this model (09a02da71f0eb8e2027e7a98bb25759577c61de9) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>184c194
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#11)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (361be7570b5944ba7783357a992456cab9effb81) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>f8ac4a8
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#10)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (6384847645fe08d08a5b8b69161afdfb55a79355) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>fe450ed
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Update README.md
79e0535
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Add Diffusers weights (#8)
- Add Diffusers weights (e39f3cf9f2c5435a3877a8ef38b151c960e426e5) Co-authored-by: Guizmus <Guizmus@users.noreply.huggingface.co>62e5f2c
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add gradio demo link (#7)
- add gradio demo link (2fda2a98677a1f7a057caf77e9aa2a8095bdeda8) Co-authored-by: Ahsen Khaliq <akhaliq@users.noreply.huggingface.co>f23b332
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Update README tags to detect properly that this is a `diffusers` model to enable the free widget inference. (#3)
- Update README tags to detect properly that this is a `diffusers` model to enable the free widget inference. (ea92155c0dbdb123979ecba4a4e4fdf9ed68e7b4) Co-authored-by: Nicolas Patry <Narsil@users.noreply.huggingface.co>9552844 -
Add a diffusers checkpoint (#4)
- Add a diffusers checkpoint (0ea24749bb659700f97e8a99639ba5dab3a74c61) Co-authored-by: Anton Lozhkov <anton-l@users.noreply.huggingface.co>516c17f -
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