Instructions to use ashishlmpmishra/n306g7-mod3l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashishlmpmishra/n306g7-mod3l 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("ashishlmpmishra/n306g7-mod3l") prompt = "N306g7 mod3l" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
N306g7 mod3l
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- N306g7 mod3l
Trigger words
You should use N306g7 mod3l to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for ashishlmpmishra/n306g7-mod3l
Base model
black-forest-labs/FLUX.1-dev