Instructions to use CompVis/stable-diffusion-v1-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-3", 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 deprecated float16/fp16 variant loading through new `version` API. (#7)
- Fix deprecated float16/fp16 variant loading through new `version` API. (25487f1542d9cbaef13ba35145fed488cc6141e1)159f26f
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#6)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (687865b413644904834dd3d1975de88766129583)3111880
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Update license metadata to link to actual `creativeml-openrail-m` license (#3)
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Updating gated access wording to be more serious about license. (#1)
- Updating gated access wording to be more serious about license. (9fe0515b4c5f96272fd0a098089f9beeafc06d6f) Co-authored-by: Margaret Mitchell <meg@users.noreply.huggingface.co>efa2e7e
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