Instructions to use dannypostma/stockdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dannypostma/stockdiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dannypostma/stockdiffusion", 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`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (fb6fe85d50ccbb59c6ad2c74e6bbe110c8203387)4cd5a77
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Add Diffusers weights (#2)
- Add Diffusers weights (aa840ed68451a9b5a2a216ef3e30bd46ad2d4da1)1ce8b56 -
Upload facetune.ckpt
ded7ce7
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initial commit
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