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 vae/config.json from Below-Image/Poralus-Image-1: direct link, hf CLI and curl.
- Browser
- Download file 287 Bytes
-
https://huggingface.co/Below-Image/Poralus-Image-1/resolve/main/vae/config.json
- Command line
-
hf download hf://Below-Image/Poralus-Image-1/vae/config.json
-
curl -L -o config.json https://huggingface.co/Below-Image/Poralus-Image-1/resolve/main/vae/config.json
287 Bytes
| { | |
| "_class_name": "AutoencoderKL", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512 | |
| ], | |
| "in_channels": 3, | |
| "latent_channels": 4, | |
| "layers_per_block": 2, | |
| "norm_num_groups": 32, | |
| "out_channels": 3, | |
| "sample_size": 512 | |
| } |