Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lora
poralus
enchanted
asmr
ethereal
artistic
Instructions to use Below-Image/Poralus-Image-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Below-Image/Poralus-Image-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Below-Image/Poralus-Image-1") prompt = "a professional, high enchanted forest, asmr style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download processor/tokenizer_config.json from Below-Image/Poralus-Image-1: direct link, hf CLI and curl.
- Browser
- Download file 290 Bytes
-
https://huggingface.co/Below-Image/Poralus-Image-1/resolve/main/processor/tokenizer_config.json
- Command line
-
hf download hf://Below-Image/Poralus-Image-1/processor/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Below-Image/Poralus-Image-1/resolve/main/processor/tokenizer_config.json
290 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 77, | |
| "pad_token": "<|endoftext|>", | |
| "tokenizer_class": "CLIPTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } |