Instructions to use ohcaidek/concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ohcaidek/concept 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("ohcaidek/concept") prompt = "somber and cinematic scene, fantasy, game digital art, a fallen knight resting against a gravestone in a snow-covered graveyard, the knight clad in full armor, grips a sword with hand, the blade buried in the snow, Snowflakes gently fall around him, melancholic atmosphere, background is a dark gothic castle looms that obscured by the swirling snow and mist, haunting beauty of a warrior's final rest" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload lora-000007.TA_trained.safetensors
Browse files
lora-000007.TA_trained.safetensors
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version https://git-lfs.github.com/spec/v1
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