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 Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/optimizer.bin from TheNetherWatcher/kanji-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.4 MB
-
https://huggingface.co/TheNetherWatcher/kanji-diffusion/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://TheNetherWatcher/kanji-diffusion/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TheNetherWatcher/kanji-diffusion/resolve/main/checkpoint-3000/optimizer.bin
3.4 MB
- Xet hash:
- 073e2615dcdfc05cabe09d02f0307246e6e0f4d8720cee004bba86dcea37eac6
- Size of remote file:
- 3.4 MB
- SHA256:
- ca33c00a85fc8abb81f909915ac4fa53825691d487181a0fe600f2b01182ad4e
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