Instructions to use KamiyabAli/frames with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamiyabAli/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("KamiyabAli/frames") prompt = "FRM$ a majestic mountain range with snow-capped peaks in the background, illuminated by the setting sun. The sky is a beautiful mix of oranges, pinks, and purples, creating a stunning backdrop for the majestic peaks." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#3
by KamiyabAli - opened
Generated example for model KamiyabAli/frames.
Prompt: FRM$ a small, secluded lake nestled amidst a valley of stylized, low-poly mountains, reminiscent of the Firewatch art style. A simple wooden watchtower overlooks the lake, its silhouette sharp against the warm, orange and pink hues of a sunset sky. A small herd of deer graze peacefully near the lakeshore. The overall scene should evoke a sense of tranquility and isolation, with a vibrant yet slightly muted color palette.
KamiyabAli changed pull request status to merged