Text-to-Image
Diffusers
TensorBoard
diffusers-training
qwen-image
qwen-image-diffusers
template:sd-lora
Instructions to use linoyts/lora_jobs_test_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linoyts/lora_jobs_test_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("linoyts/lora_jobs_test_2", dtype=torch.bfloat16, device_map="cuda") prompt = "yoda, yarn art style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
add missing 'lora' tag
#11 opened 7 months ago
by
linoyts
add missing 'lora' tag
#10 opened 7 months ago
by
linoyts
add missing 'lora' tag
#9 opened 7 months ago
by
linoyts
add missing 'lora' tag
#8 opened 7 months ago
by
linoyts
add missing 'lora' tag
#7 opened 7 months ago
by
linoyts
add missing 'lora' tag This makes sure the generated inference code w/ diffusers (when clicking "Use this model") is accurate.
#6 opened 7 months ago
by
linoyts
normalize 'LoRA' tag to lowercase 'lora' This makes sure the generated inference code w/ diffusers (when clicking "Use this model") is accurate.
#5 opened 7 months ago
by
linoyts
normalize 'LoRA' tag to lowercase 'lora' This makes sure the generated inference code w/ diffusers (when clicking "Use this model") is accurate.
#4 opened 7 months ago
by
linoyts