Instructions to use danbrown/nitrosocke-classic-anim-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/nitrosocke-classic-anim-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("danbrown/nitrosocke-classic-anim-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`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (2dafe1f82a83f0ce7c9b66e112c4b76ca02a958f) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>bb604b7
-
Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (e8125b978953a8387e7910a64a1954a6fd0bb9c3) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>879c9eb
-
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. (4ade0c0744a373d718c40a395ac2cecd1f61695f) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>a48fd8e -
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 (880e1ffe3f95ba3c3ea4a958ceacc2c1e9033522) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>9107a78
-
Update README.md
75899cc -
Update README.md
19cee4b -
converted to diffusers
3fbc554
-
initial commit
04c2001