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harsha19/Sneha
Sneha is a text-to-image model from harsha19. 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
105
8% of all-time downloads
All-time downloads
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.safetensors613 MB · 78%
From the Hugging Face model README
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
You should use rups to trigger the image generation.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('John6666/fastflux-unchained-t5f16-fp8-flux', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('harsha19/Sneha', weight_name='sneha.safetensors')
pipeline.load_lora_weights("harsha19/Sneha", weight_name="lora (3).safetensors")
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers