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cucucu666/cry-7.30
cry-7.30 is a text-to-image model from cucucu666. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
These are cucucu666/cry-7.30 DreamBooth LoRA weights for black-forest-labs/FLUX.1-Fill-dev.
The weights were trained using DreamBooth with a custom Flux diffusers trainer.
Was LoRA for the text encoder enabled? False.
You should use Snoopy face, Snoopy style, sad expression, closed eyes, blue tears under eyes, plain color background to trigger the image generation.
Download the *.safetensors LoRA in the Files & versions tab.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('cucucu666/cry-7.30', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('Snoopy face, Snoopy style, sad expression, closed eyes, blue tears under eyes, plain color background').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Please adhere to the licensing terms as described here.
# TODO: add an example code snippet for running this diffusion pipeline
[TODO: provide examples of latent issues and potential remediations]
[TODO: describe the data used to train the model]