Text-to-Image
Diffusers
Safetensors
flux2
flux2-diffusers
image-to-image
lora
template:sd-lora
lycoris
Flux.2-dev
Instructions to use ThatDustyGuy/FLUX.2-DEV-DLAY-LyCORIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ThatDustyGuy/FLUX.2-DEV-DLAY-LyCORIS 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.2-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ThatDustyGuy/FLUX.2-DEV-DLAY-LyCORIS") prompt = "DLAY man in a professional studio portrait with soft lighting, high quality photography, sharp focus" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- FLUX.2-DEV-DLAY-Persona-8xB300-prodigy-V2-dynamo
- FLUX.2-DEV-DLAY-Persona-8xB300-prodigy-V2-ramtorch
- FLUX.2-DEV-DLAY-Persona-8xB300-prodigy-V2
- FLUX.2-DEV-DLAY-Persona-8xB300-prodigy
- FLUX.2-DEV-DLAY-Persona-cudnn-debug-1step
- FLUX.2-DEV-DLAY-Persona-cudnn-debug-benchmark-1step
- FLUX.2-DEV-DLAY-Persona-cudnn-test-1gpu
- FLUX.2-DEV-DLAY-Persona-cudnn-test
- FLUX.2-DEV-DLAY-Persona-native-efficient-debug-5step
- assets
- ema
- qwen-cudnn-test
- sdxl-cudnn-test
- wandb
- 229 kB
- 6.3 kB
- 444 MB xet