Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use PhucNT2511/db_lora_irit_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PhucNT2511/db_lora_irit_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V6.0_B1_noVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PhucNT2511/db_lora_irit_diffusers") prompt = "a photo of shs woman" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-100
- checkpoint-1000
- checkpoint-1100
- checkpoint-1200
- checkpoint-1300
- checkpoint-1400
- checkpoint-1500
- checkpoint-1600
- checkpoint-200
- checkpoint-300
- checkpoint-400
- checkpoint-500
- checkpoint-600
- checkpoint-700
- checkpoint-800
- checkpoint-900
- logs
- 1.71 kB
- 1.32 kB
- 430 kB xet
- 436 kB xet
- 405 kB xet
- 457 kB xet
- 35 MB xet