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
- Xet hash:
- 24a0b68e86814a0609a781e9b76d28022fde21396e00d46aaffce12a7aaf0749
- Size of remote file:
- 2.13 GB
- SHA256:
- 463d6a9fe8a4b56a4d69ef3692074c0617428dfd8e8f12f9efe3b1e9a71717ce
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