Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/monster_toy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/monster_toy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KCS97/monster_toy", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks toy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-800/optimizer.bin from KCS97/monster_toy: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/KCS97/monster_toy/resolve/main/checkpoint-800/optimizer.bin
- Command line
-
hf download hf://KCS97/monster_toy/checkpoint-800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/KCS97/monster_toy/resolve/main/checkpoint-800/optimizer.bin
6.88 GB
- Xet hash:
- 8539dbcff4e6001026b45be16a6eaeea69d3c7d89001cf8591d21844e573387e
- Size of remote file:
- 6.88 GB
- SHA256:
- 2a24dc3d5e312a63a9bb9e434bc5ba560234e1b68ab0c862f37aee2327eb0401
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