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
Commit History
-
Add generated example (#3)
Verified signature- Add generated example (ed47d2bd718526cf33c8705dcd7f827362d3d9f6)8c5ea5f -
Add generated example (#2)
Verified signature- Add generated example (36c5eab9587f5899e227c6de1baa2c89690cbba8)7b3bae6 -
Add generated example (#1)
Verified signature- Add generated example (f9efa3b755ac2f757096dadc1b2228648bf7ffbe)34f2ba8
-
Upload folder using huggingface_hub
Verified signature019b430 -
initial commit
Verified signature3803360