Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use Tonioesparza/ourhood_training_dreambooth_lora_2_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tonioesparza/ourhood_training_dreambooth_lora_2_0 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/RealVisXL_V5.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tonioesparza/ourhood_training_dreambooth_lora_2_0") prompt = "A photograph, of an Ourhood privacy booth, front view, in a warehouse eventspace environment, in the style of event photography, silken oak frame, checkered warm grey exterior fabric, checkered warm grey interior fabric, curtains, diner seating, pillows" 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
- checkpoint-12500/optimizer.bin +3 -0
- checkpoint-12500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-12500/random_states_0.pkl +3 -0
- checkpoint-12500/scaler.pt +3 -0
- checkpoint-12500/scheduler.bin +3 -0
- checkpoint-13000/optimizer.bin +3 -0
- checkpoint-13000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-13000/random_states_0.pkl +3 -0
- checkpoint-13000/scaler.pt +3 -0
- checkpoint-13000/scheduler.bin +3 -0
- checkpoint-13500/optimizer.bin +3 -0
- checkpoint-13500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-13500/random_states_0.pkl +3 -0
- checkpoint-13500/scaler.pt +3 -0
- checkpoint-13500/scheduler.bin +3 -0
- checkpoint-14000/optimizer.bin +3 -0
- checkpoint-14000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-14000/random_states_0.pkl +3 -0
- checkpoint-14000/scaler.pt +3 -0
- checkpoint-14000/scheduler.bin +3 -0
- checkpoint-14500/optimizer.bin +3 -0
- checkpoint-14500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-14500/random_states_0.pkl +3 -0
- checkpoint-14500/scaler.pt +3 -0
- checkpoint-14500/scheduler.bin +3 -0
- checkpoint-15000/optimizer.bin +3 -0
- checkpoint-15000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-15000/random_states_0.pkl +3 -0
- checkpoint-15000/scaler.pt +3 -0
- checkpoint-15000/scheduler.bin +3 -0
- checkpoint-15500/optimizer.bin +3 -0
- checkpoint-15500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-15500/random_states_0.pkl +3 -0
- checkpoint-15500/scaler.pt +3 -0
- checkpoint-15500/scheduler.bin +3 -0
- checkpoint-16000/optimizer.bin +3 -0
- checkpoint-16000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-16000/random_states_0.pkl +3 -0
- checkpoint-16000/scaler.pt +3 -0
- checkpoint-16000/scheduler.bin +3 -0
- checkpoint-16500/optimizer.bin +3 -0
- checkpoint-16500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-16500/random_states_0.pkl +3 -0
- checkpoint-16500/scaler.pt +3 -0
- checkpoint-16500/scheduler.bin +3 -0
- checkpoint-17000/optimizer.bin +3 -0
- checkpoint-17000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-17000/random_states_0.pkl +3 -0
- checkpoint-17000/scaler.pt +3 -0
- checkpoint-17000/scheduler.bin +3 -0
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ADDED
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checkpoint-16500/random_states_0.pkl
ADDED
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checkpoint-16500/scaler.pt
ADDED
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checkpoint-16500/scheduler.bin
ADDED
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checkpoint-17000/optimizer.bin
ADDED
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checkpoint-17000/pytorch_lora_weights.safetensors
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checkpoint-17000/random_states_0.pkl
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checkpoint-17000/scaler.pt
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checkpoint-17000/scheduler.bin
ADDED
|
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|
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