Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use TheNetherWatcher/kanji-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheNetherWatcher/kanji-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheNetherWatcher/kanji-diffusion") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 14dd1202f504611ecc3729bd1f5b2e61fb1ccc3f344b5357598febe0e0ba5a33
- Size of remote file:
- 3.4 MB
- SHA256:
- 04a50cf1ba2d08f3bd66d0cd78d1519f14d3dce05b317c0ff5859fd79cdd8570
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