Instructions to use SimianLuo/LCM_Dreamshaper_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimianLuo/LCM_Dreamshaper_v7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SimianLuo/LCM_Dreamshaper_v7", 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
- Draw Things
- DiffusionBee
Update README.md
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by tyq1024 - opened
README.md
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@@ -13,6 +13,7 @@ Official Repository of the paper: *[Latent Consistency Models: Synthesizing High
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Project Page: https://latent-consistency-models.github.io
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<p align="center">
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<img src="teaser.png">
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Project Page: https://latent-consistency-models.github.io
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Distilled from Dreamshaper v7 fine-tune of Stable Diffusion v1-5 with only 4,000 training iterations (~32 A100 GPU Hours).
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<p align="center">
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<img src="teaser.png">
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