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172 MB
4 files
Updated about 2 months ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.52 kB xet | 818ba6de | |
| README.md | 2.1 kB xet | 43ecf1a8 | |
| config.yaml | 1.29 kB xet | d9401487 | |
| lora.safetensors | 172 MB xet | 64d1ec48 |
Marketingtechai
About this LoRA
This is a LoRA for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.
It was trained on Replicate using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use Eddie to trigger the image generation.
Run this LoRA with an API using Replicate
import replicate
input = {
"prompt": "Eddie",
"lora_weights": "https://huggingface.co/Eddiepitt/MarketingTechAI/resolve/main/lora.safetensors"
}
output = replicate.run(
"black-forest-labs/flux-dev-lora",
input=input
)
for index, item in enumerate(output):
with open(f"output_{index}.webp", "wb") as file:
file.write(item.read())
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Eddiepitt/MarketingTechAI', weight_name='lora.safetensors')
image = pipeline('Eddie').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Training details
- Steps: 2024
- Learning rate: 0.0004
- LoRA rank: 16
Contribute your own examples
You can use the community tab to add images that show off what you’ve made with this LoRA.
- Total size
- 172 MB
- Files
- 4
- Last updated
- Aug 29
- Pre-warmed CDN
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