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:
- 8c8036fbf9ba51bf9109d1ff5ecdc9afabe02cd6f661d869b29f3bba3db84566
- Size of remote file:
- 39.8 MB
- SHA256:
- c659c1e7a9c6bef1140586d6a8cca16673417401dbf7f3833e2f64a75cb209d2
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