Instructions to use svontzmontgomery/REECH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use svontzmontgomery/REECH with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("svontzmontgomery/REECH") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from svontzmontgomery/REECH: direct link, hf CLI and curl.
- Browser
- Download file 894 Bytes
-
https://huggingface.co/svontzmontgomery/REECH/resolve/main/README.md
- Command line
-
hf download hf://svontzmontgomery/REECH/README.md
-
curl -L -o README.md https://huggingface.co/svontzmontgomery/REECH/resolve/main/README.md
894 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/1000009197.png
text: '-'
base_model: Phr00t/Qwen-Image-Edit-Rapid-AIO
instance_prompt: null
REECH

- Prompt
- -
Model description
Out of all 1{ client_id: "[your website url]/.well-known/oauth-cimd", client_name: "Your Website", redirect_uris: ["[your website url]/oauth/callback/huggingface"], token_endpoint_auth_method: "none", logo_uri: "https://....", // optional client_uri: "[your website url]", // optional }https://termius.com/download
Download model
Download them in the Files & versions tab.