Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use coolcat21/kanjimaker128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coolcat21/kanjimaker128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("coolcat21/kanjimaker128", dtype=torch.bfloat16, device_map="cuda") 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-10000/optimizer.bin from coolcat21/kanjimaker128: direct link, hf CLI and curl.
- Browser
- Download file 6.93 GB
-
https://huggingface.co/coolcat21/kanjimaker128/resolve/main/checkpoint-10000/optimizer.bin
- Command line
-
hf download hf://coolcat21/kanjimaker128/checkpoint-10000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/coolcat21/kanjimaker128/resolve/main/checkpoint-10000/optimizer.bin
6.93 GB
- Xet hash:
- 3d8fb0437735c46d24063602e2c71c91960a6884ddab7c7125f5a5daf57c49e8
- Size of remote file:
- 6.93 GB
- SHA256:
- a6cb0ab6c5e4a27985781c4291c00d583b977bb203ab26b63327ca7493d1549f
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