Instructions to use tm-hf-repo/tmcfkp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tm-hf-repo/tmcfkp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tm-hf-repo/tmcfkp") prompt = "tmcfkp" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
tmcfkp
Model description
haldfof default learning rate for 5000 steps was trained on 300 images created using flux kontext pro
Trigger words
You should use tmcfkp to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-kontext-trainer.
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