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-4500/scheduler.bin from TheNetherWatcher/kanji-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/TheNetherWatcher/kanji-diffusion/resolve/main/checkpoint-4500/scheduler.bin
- Command line
-
hf download hf://TheNetherWatcher/kanji-diffusion/checkpoint-4500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/TheNetherWatcher/kanji-diffusion/resolve/main/checkpoint-4500/scheduler.bin
1 kB
- Xet hash:
- 231b3edbe519788481f4aedfe538ed2d07e6304b59308ae9779db97d9a0e393b
- Size of remote file:
- 1 kB
- SHA256:
- 843072ee388d5629a932371b8265f451662d8a1ce285e2ddffd5bb68c88314f6
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