Instructions to use sayonara009/test-02fd74b9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sayonara009/test-02fd74b9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sayonara009/test-02fd74b9", dtype=torch.bfloat16, device_map="cuda") prompt = "lora" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Diffusion Model - Real Training
Trained using native diffusion training with real dataset.
- Base model: rayonlabs/FLUX.1-dev
- Model type: flux
- Training steps: 1560
- Final loss: 1.9943610429763794
- Training method: Native (not Docker)
- Dataset: Real images from training data
Training Details
- LR Finder: Used offers-compatible LR finding
- LoRA Configuration: Optimized for flux
- Quality Score: 0.4987014077447834
Usage
Use with diffusers library or ComfyUI.
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Base model
rayonlabs/FLUX.1-dev