Instructions to use bghira/deepcinema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/deepcinema with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DeepFloyd/IF-I-M-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bghira/deepcinema") prompt = "a happy family" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
11750 steps.
Browse files
pytorch_lora_weights.safetensors
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