stablediffusionapi / my-stablediffusion-lora-2037

huggingface.co
Total runs: 16
24-hour runs: 0
7-day runs: 0
30-day runs: 7
Model's Last Updated: December 18 2024
text-to-image

Introduction of my-stablediffusion-lora-2037

Model Details of my-stablediffusion-lora-2037

ModelsLab LoRA DreamBooth Training - stablediffusionapi/my-stablediffusion-lora-2037

Model description

These are stablediffusionapi/my-stablediffusion-lora-2037 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained using Modelslab . LoRA for the text encoder was enabled: False. Special VAE used for training: None.

Use it with the 🧨 diffusers library
!pip install -q transformers accelerate peft diffusers
from diffusers import DiffusionPipeline
import torch

pipe_id = "stabilityai/stable-diffusion-xl-base-1.0"
pipe = DiffusionPipeline.from_pretrained(pipe_id, torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("stablediffusionapi/my-stablediffusion-lora-2037", weight_name="pytorch_lora_weights.safetensors", adapter_name="abc")
prompt = "abc of a hacker with a hoodie"
lora_scale = 0.9
image = pipe(
    prompt,
    num_inference_steps=30,
    cross_attention_kwargs={"scale": lora_scale},
    generator=torch.manual_seed(0)
).images[0]
image
Trigger words

You should use photo of a skd to trigger the image generation.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

Runs of stablediffusionapi my-stablediffusion-lora-2037 on huggingface.co

16
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
7
30-day runs

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my-stablediffusion-lora-2037 install

my-stablediffusion-lora-2037 is an open source model from GitHub that offers a free installation service, and any user can find my-stablediffusion-lora-2037 on GitHub to install. At the same time, huggingface.co provides the effect of my-stablediffusion-lora-2037 install, users can directly use my-stablediffusion-lora-2037 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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