Instructions to use glif-loradex-trainer/001_Scribble_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/001_Scribble_v2 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("glif-loradex-trainer/001_Scribble_v2") prompt = "The image is divided into two halves: on the left is a simple scribble/sketch of what is pictured on the right, and on the right is a close-up image of a humanoid robot's head and shoulders against a gray background. The robot's face has a smooth, white surface with minimal features, including expressive gray eyes and a subtle smile. It has a sleek design with visible circuitry and mechanical components around the neck and shoulders. Headphones are placed over the ears, emphasizing its futuristic appearance. The overall look conveys a blend of human-like characteristics and advanced technology." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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