Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
beeple
digital art
aiart
Instructions to use riccardogiorato/beeple-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use riccardogiorato/beeple-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("riccardogiorato/beeple-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
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
Hey riccardogiorato 👋, 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(riccardogiorato/beeple-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.704926d
-
Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#2)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (3bf1b14d532881288e3cf9d9c7b1c203f092eb02) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>6cc4a1f -
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#3)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (cf10a9d8353f616a36a2b5b22d289517591c1047) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>8162c37
-
Update README.md
f18d4ee
-
Update README.md
aec0402 -
Update README.md
29e1397 -
Update README.md
46e0647 -
diffusion (#1)
- Add Diffusers weights for (61d044b6a00c86dcc95dfae1efbfe5965a517439)4193c23
-
Update README.md
Riccardo Gioratoe5af935 -
update README
Riccardo Giorato18ed09a -
Create beeple.ckpt
Riccardo Giorato95c60d1 -
Update README.md
Riccardo Gioratoa4ffc3b -
initial commit
9260e9e