Instructions to use Cossale/frames with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cossale/frames 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("Cossale/frames") prompt = "a road leading to a mountain in a night, visible moon and stars. FRM$" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 06cd581fa2fede9c6232aabf21d2ea6f8a4566d6cf17503ab1c5670794378278
- Size of remote file:
- 39.8 MB
- SHA256:
- 36e8c765bdedf7f057c8dd7187da5341b78effa7ac12cb038f290d8035c38384
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