Instructions to use Wolfram33/pix74 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wolfram33/pix74 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("strangerzonehf/Flux-Midjourney-Mix2-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Wolfram33/pix74") prompt = "A beautiful woman sitting in a magical forest, surrounded by vibrant greenery and glowing flowers, wearing a flowing red dress. The lighting is soft and ethereal, with a dreamy atmosphere. Hyper-detailed, cinematic style." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download CineStyle5.safetensors from Wolfram33/pix74: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/Wolfram33/pix74/resolve/7f17655370bfb601676598013f3f2abbbf9eff4c/CineStyle5.safetensors
- Command line
-
hf download hf://Wolfram33/pix74@7f17655370bfb601676598013f3f2abbbf9eff4c/CineStyle5.safetensors
-
curl -L -o CineStyle5.safetensors https://huggingface.co/Wolfram33/pix74/resolve/7f17655370bfb601676598013f3f2abbbf9eff4c/CineStyle5.safetensors
151 MB
- Xet hash:
- 629b5a1acc075c2deb8edfbf841a73e2dddfa4199d719e18812a5055a46646d9
- Size of remote file:
- 151 MB
- SHA256:
- f0d3b5375fc64e0770c0da12e930b0b3b84626c55f393e52b75c896a092dc2d6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.