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ThomasHoefner/tom_hoefner_v1
tom_hoefner_v1 is a text-to-image model from ThomasHoefner. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
Downloads · 30 days
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.safetensors516 MB · 100%
From the Hugging Face model README
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
You should use t0mt0m to trigger the image generation.
import replicate
input = {
"prompt": "t0mt0m",
"lora_weights": "https://huggingface.co/ThomasHoefner/tom_hoefner_v1/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())
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('ThomasHoefner/tom_hoefner_v1', weight_name='lora.safetensors')
image = pipeline('t0mt0m').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
You can use the community tab to add images that show off what you’ve made with this LoRA.