Instructions to use danbrown/elldreth-og-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/elldreth-og-mix 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/elldreth-og-mix", 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`. (#3)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (cbc148e2886150cc33ba0d954331a8d9311682b2) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>36ff86a
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (d53e556e591d28f0cbbd0ad2184e385f2fcc1736) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>a26cfbe
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fixed safety_checker
e2787c5
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Add Diffusers weights (#1)
- Add Diffusers weights (0171065963ddb8f59cef04a8cbae2dac7d7fbc7d)37a024b -
added ckpt
0b79dfa -
initial commit
c64694f