Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
Mind Control
Hypnosis
iamxenos
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Kitsch-In-Sync with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Kitsch-In-Sync with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Kitsch-In-Sync", 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 tokenizer/special_tokens_map.json from Yntec/Kitsch-In-Sync: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
-
https://huggingface.co/Yntec/Kitsch-In-Sync/resolve/7d5d68480c8e1ecb691d0aa3a3ff94de86d720b6/tokenizer/special_tokens_map.json
- Command line
-
hf download hf://Yntec/Kitsch-In-Sync@7d5d68480c8e1ecb691d0aa3a3ff94de86d720b6/tokenizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Yntec/Kitsch-In-Sync/resolve/7d5d68480c8e1ecb691d0aa3a3ff94de86d720b6/tokenizer/special_tokens_map.json
133 Bytes
| { | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": "<|endoftext|>" | |
| } | |