Instructions to use hr16/sofia-roses-3500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hr16/sofia-roses-3500 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hr16/sofia-roses-3500", 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
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
Hey hr16 👋, 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(hr16/sofia-roses-3500)`.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.b1971d5
-
Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (8845d31e7eeebb3c3a6cae5a65c09ac6980a4667) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>c42e624
-
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. (d5f28f889e0dda1d690434aea1ed00a9c5f3be10) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>df145e7
-
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 (86604e0caa967776033085711b7d56637455e00a) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>7cdf998
-
Upload with huggingface_hub
a11e37e -
Upload with huggingface_hub
fe96c34 -
Update README.md
8126375 -
Upload with huggingface_hub
4bf18cf -
initial commit
37d3195