Instructions to use tkboss7/neman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tkboss7/neman with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pmczip/FLUX.2-klein-9B_Models", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tkboss7/neman") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 463 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/1773943350630-019d0742-733c-76f0-830b-75f46a1901a7 (1).jpeg
text: '-'
- output:
url: images/Generated Image March 19, 2026 - 11_02PM.jpg
text: '-'
base_model: pmczip/FLUX.2-klein-9B_Models
instance_prompt: null
license: apache-2.0
---
# hadu
<Gallery />
## Download model
[Download](/tkboss7/neman/tree/main) them in the Files & versions tab.
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