Instructions to use IcelosAI/lichtspiel-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IcelosAI/lichtspiel-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IcelosAI/lichtspiel-diffusion", torch_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
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### Lichtspiel Diffusion
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This is a fine-tuned Stable Diffusion 1.5 model trained on stills from movies by celebrated cinematographers.
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Sample pictures of this concept:
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The model was trained using dreambooth by TheLastBen based on the SD implementation by XavierXiao.
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### Lichtspiel Diffusion
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This is a fine-tuned Stable Diffusion 1.5 model trained on stills from movies by celebrated cinematographers. It gives your images a cinematic look, muted colors, bloom and film grain. Sometimes it works great, sometimes not so well.
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Sample pictures of this concept:
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Download the *.ckpt file from the "files and versions" tab into the Stable Diffusion models folder of your web-ui of choice.
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Use the token LichtspielStyle or style LichtspielStyle to activate the effect. It works particularly well for portraits and if you additionally reference specific films like Blade Runner, True Grit or The Revenant.
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The model was trained using dreambooth by TheLastBen based on the SD implementation by XavierXiao.
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