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BootesVoid/cmc6mt80s06znbfif0yddi523_cmc6my34a0708bfif3v522z4o
cmc6mt80s06znbfif0yddi523_cmc6my34a0708bfif3v522z4o is a text-to-image model from BootesVoid. 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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9% of all-time downloads
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.safetensors172 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 VANESSACARS to trigger the image generation.
import replicate
input = {
"prompt": "VANESSACARS",
"lora_weights": "https://huggingface.co/BootesVoid/cmc6mt80s06znbfif0yddi523_cmc6my34a0708bfif3v522z4o/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('BootesVoid/cmc6mt80s06znbfif0yddi523_cmc6my34a0708bfif3v522z4o', weight_name='lora.safetensors')
image = pipeline('VANESSACARS').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.