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", 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
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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. Rename it to model.ckpt and ... that's it.
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Use the token
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The model was trained using dreambooth by TheLastBen based on the SD implementation by XavierXiao.
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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. Rename it to model.ckpt and ... that's it.
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Use the token Lichtspiel Style 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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