Instructions to use ishikawa/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishikawa/model 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("ishikawa/model") prompt = "a painting of sks terada" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- .ipynb_checkpoints
- checkpoint-100
- checkpoint-1000
- checkpoint-1500
- checkpoint-200
- checkpoint-2000
- checkpoint-2500
- checkpoint-300
- checkpoint-3000
- checkpoint-3500
- checkpoint-400
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
- 1.48 kB
- 640 Bytes
- 842 Bytes
- 381 kB
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- 842 Bytes
- 3.29 MB xet