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$" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_prompts.txt from Cossale/frames: direct link, hf CLI and curl.
- Browser
- Download file 4 Bytes
-
https://huggingface.co/Cossale/frames/resolve/refs%2Fpr%2F2/sample_prompts.txt
- Command line
-
hf download hf://Cossale/frames@refs/pr/2/sample_prompts.txt
-
curl -L -o sample_prompts.txt https://huggingface.co/Cossale/frames/resolve/refs%2Fpr%2F2/sample_prompts.txt
4 Bytes
| FRM$ |