Instructions to use tiddu/all_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiddu/all_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tiddu/all_models", 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
Upload story_images.zip
Browse files- story_images.zip +3 -0
story_images.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ca42d5f8c4925d7a9dc7d9a81a2fd25d0cd9db5cc62aa7c0530e393fe7366d9
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size 559175379
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