Instructions to use Shakker-Labs/FilmPortrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shakker-Labs/FilmPortrait with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/FilmPortrait", dtype=torch.bfloat16, device_map="cuda") prompt = "A young asian girl, filmfotos,film grain, reversal film photography" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add LoRA tag
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by multimodalart HF Staff - opened
README.md
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- image-generation
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- flux
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- safetensors
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widget:
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- text: A young asian girl, filmfotos,film grain, reversal film photography
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output:
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- image-generation
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- flux
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- safetensors
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- lora
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widget:
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- text: A young asian girl, filmfotos,film grain, reversal film photography
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output:
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