Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use poppingout1325/naruto-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use poppingout1325/naruto-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("poppingout1325/naruto-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-10000
- checkpoint-10500
- checkpoint-11000
- checkpoint-11500
- checkpoint-12000
- checkpoint-12500
- checkpoint-13000
- checkpoint-13500
- checkpoint-14000
- checkpoint-14500
- checkpoint-15000
- checkpoint-5500
- checkpoint-6000
- checkpoint-6500
- checkpoint-7000
- checkpoint-7500
- checkpoint-8000
- checkpoint-8500
- checkpoint-9000
- checkpoint-9500
- efficient_weight
- lab0
- lab1
- nanoGPT
- transformers
- 2.16 kB
- 233 kB
- 2.54 MB
- 3.34 MB
- 1.09 kB
- 1.69 kB
- 358 kB
- 401 kB
- 351 kB
- 381 kB
- 3.23 MB xet
- 552 Bytes