Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use coscotuff/sd-kanji-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coscotuff/sd-kanji-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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("coscotuff/sd-kanji-model") 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-2500/optimizer.bin from coscotuff/sd-kanji-model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/coscotuff/sd-kanji-model/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://coscotuff/sd-kanji-model/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/coscotuff/sd-kanji-model/resolve/main/checkpoint-2500/optimizer.bin
6.59 MB
- Xet hash:
- 8f4a9a465626e0a90cedbf55698f9c46e2f4c75ec41966cdcd39d3175b71e97d
- Size of remote file:
- 6.59 MB
- SHA256:
- 2db1b6beb853e7755e053868fffa12cd37675e289f172bb5bf083a728c8ae09a
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