Instructions to use navayla7/man_flow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use navayla7/man_flow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("navayla7/man_flow") prompt = "<score_green_5000>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
take_inbox

- Prompt
- <score_green_5000>
- Negative Prompt
- {red_35000}
Model description
git fetch origin refs/pro/42: pro/42 git checkout pro/42 +_
Do your changes git add . git commit -m Add your change git push origin pro/42
Trigger words
You should use " ^_^" to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for navayla7/man_flow
Base model
black-forest-labs/FLUX.1-dev