Dls-ART / README.md
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metadata
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: >-
      Dls Sketch, A cartoon drawing of a woman with long brown hair. The woman
      has a white face with black eyes. The background is plain white. The
      drawing is done in black lines.
    output:
      url: images/1.png
  - text: >-
      Dls Sketch, A cartoon drawing of a woman with a purple tie. The background
      is a solid white color. The womans face is white. Her hair is black. Her
      eyes are purple. Her nose is black as well as her mouth is open. Her mouth
      is slightly open. She is wearing a pair of purple earrings. Her tie is
      purple.
    output:
      url: images/2.png
  - text: >-
      Dls Sketch, A cartoon drawing of a boy with a red coat on a white
      background. The boy has short brown hair and black eyes. He is wearing a
      black collar around his neck. He has a black belt around his waist.
    output:
      url: images/3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Dls Art
license: creativeml-openrail-m

ASCFSDVCC.png

Prompt
Dls Sketch, A cartoon drawing of a woman with long brown hair. The woman has a white face with black eyes. The background is plain white. The drawing is done in black lines.
Prompt
Dls Sketch, A cartoon drawing of a woman with a purple tie. The background is a solid white color. The womans face is white. Her hair is black. Her eyes are purple. Her nose is black as well as her mouth is open. Her mouth is slightly open. She is wearing a pair of purple earrings. Her tie is purple.
Prompt
Dls Sketch, A cartoon drawing of a boy with a red coat on a white background. The boy has short brown hair and black eyes. He is wearing a black collar around his neck. He has a black belt around his waist.

Model description for Dls-ART

Image Processing Parameters

Parameter Value Parameter Value
LR Scheduler constant Noise Offset 0.03
Optimizer AdamW Multires Noise Discount 0.1
Network Dim 64 Multires Noise Iterations 10
Network Alpha 32 Repeat & Steps 20 & 2900
Epoch 25 Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 24

Best Dimensions & Inference

Dimensions Aspect Ratio Recommendation
1280 x 832 3:2 Best
1024 x 1024 1:1 Default

Inference Range

  • Recommended Inference Steps: 30–35

Setting Up

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "strangerzonehf/Dls-ART"
trigger_word = "Dls-ART"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Trigger words

You should use Dls Art to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.