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
End of training
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +6 -0
- checkpoint-100/optimizer.bin +1 -1
- checkpoint-100/pytorch_lora_weights.safetensors +1 -1
- checkpoint-1000/optimizer.bin +1 -1
- checkpoint-1000/pytorch_lora_weights.safetensors +1 -1
- checkpoint-1100/optimizer.bin +3 -0
- checkpoint-1100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1100/random_states_0.pkl +3 -0
- checkpoint-1100/scheduler.bin +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
- checkpoint-1200/scheduler.bin +3 -0
- checkpoint-1300/optimizer.bin +3 -0
- checkpoint-1300/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1300/random_states_0.pkl +3 -0
- checkpoint-1300/scheduler.bin +3 -0
- checkpoint-1400/optimizer.bin +3 -0
- checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1400/random_states_0.pkl +3 -0
- checkpoint-1400/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-1600/optimizer.bin +3 -0
- checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1600/random_states_0.pkl +3 -0
- checkpoint-1600/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +1 -1
- checkpoint-200/pytorch_lora_weights.safetensors +1 -1
- checkpoint-300/optimizer.bin +1 -1
- checkpoint-300/pytorch_lora_weights.safetensors +1 -1
- checkpoint-400/optimizer.bin +1 -1
- checkpoint-400/pytorch_lora_weights.safetensors +1 -1
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/pytorch_lora_weights.safetensors +1 -1
- checkpoint-600/optimizer.bin +1 -1
- checkpoint-600/pytorch_lora_weights.safetensors +1 -1
- checkpoint-700/optimizer.bin +1 -1
- checkpoint-700/pytorch_lora_weights.safetensors +1 -1
- checkpoint-800/optimizer.bin +1 -1
- checkpoint-800/pytorch_lora_weights.safetensors +1 -1
- checkpoint-900/optimizer.bin +1 -1
- checkpoint-900/pytorch_lora_weights.safetensors +1 -1
- image_0.png +2 -2
- image_1.png +2 -2
- image_2.png +2 -2
- image_3.png +2 -2
- logs/dreambooth-lora/1746747645.5495872/events.out.tfevents.1746747645.c611ab6505d2.106.1 +3 -0
README.md
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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- diffusers-training
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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