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Elias3000/MICM
MICM is a text-to-image model from Elias3000. 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
8
16% of all-time downloads
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.safetensors193 MB · 100%
From the Hugging Face model README
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
You should use MICM to trigger the image generation.
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('Elias3000/MICM', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers