Instructions to use alvdansen/flux_film_foto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alvdansen/flux_film_foto with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("alvdansen/flux_film_foto") prompt = "a bottle of water with the text \"clean\" on it, flmft photo style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c14e0067a783dfe4dc4223243b23632d9c1e1327c9ab749f6a2d0b91faeddc6e
- Size of remote file:
- 344 MB
- SHA256:
- 67063af4a0494eefdbc81422818184c90a14848f2eddc27a366f5d5323b0ef64
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