histin116 / dirndlletz7

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Model's Last Updated: August 17 2024
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Introduction of dirndlletz7

Model Details of dirndlletz7

dirndlletz7

This is a LoRA derived from black-forest-labs/FLUX.1-dev .

The main validation prompt used during training was:

woman smiling and holding two glasses of beer, She is dressed in traditional Bavarian or Alpine attire, which consists of a white lace blouse under a dark green dirndl dress. The dress is cinched at the waist with a belt that has an ornate metal clasp.
Validation settings
  • CFG: 3.5
  • CFG Rescale: 0.0
  • Steps: 15
  • Sampler: None
  • Seed: 42
  • Resolution: 1024

Note: The validation settings are not necessarily the same as the training settings .

You can find some example images in the following gallery:

Prompt
unconditional (blank prompt)
Negative Prompt
'
Prompt
woman smiling and holding two glasses of beer, She is dressed in traditional Bavarian or Alpine attire, which consists of a white lace blouse under a dark green dirndl dress. The dress is cinched at the waist with a belt that has an ornate metal clasp.
Negative Prompt
'

The text encoder was not trained. You may reuse the base model text encoder for inference.

Training settings
  • Training epochs: 199
  • Training steps: 200
  • Learning rate: 0.0001
  • Effective batch size: 4
    • Micro-batch size: 4
    • Gradient accumulation steps: 1
    • Number of GPUs: 1
  • Prediction type: flow-matching
  • Rescaled betas zero SNR: False
  • Optimizer: AdamW, stochastic bf16
  • Precision: Pure BF16
  • Quantised: No
  • Xformers: Not used
  • LoRA Rank: 32
  • LoRA Alpha: None
  • LoRA Dropout: 0.1
  • LoRA initialisation style: default
Datasets
dirndlletz7
  • Repeats: 0
  • Total number of images: 4
  • Total number of aspect buckets: 1
  • Resolution: 1.0 megapixels
  • Cropped: True
  • Crop style: center
  • Crop aspect: square
Inference
import torch
from diffusers import DiffusionPipeline

model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'histin116/dirndlletz7'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "woman smiling and holding two glasses of beer, She is dressed in traditional Bavarian or Alpine attire, which consists of a white lace blouse under a dark green dirndl dress. The dress is cinched at the waist with a belt that has an ornate metal clasp."


pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
    prompt=prompt,
    num_inference_steps=15,
    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
    width=1024,
    height=1024,
    guidance_scale=3.5,
).images[0]
image.save("output.png", format="PNG")

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More Information About dirndlletz7 huggingface.co Model

dirndlletz7 huggingface.co

dirndlletz7 huggingface.co is an AI model on huggingface.co that provides dirndlletz7's model effect (), which can be used instantly with this histin116 dirndlletz7 model. huggingface.co supports a free trial of the dirndlletz7 model, and also provides paid use of the dirndlletz7. Support call dirndlletz7 model through api, including Node.js, Python, http.

histin116 dirndlletz7 online free

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histin116 dirndlletz7 online free url in huggingface.co:

https://huggingface.co/histin116/dirndlletz7

dirndlletz7 install

dirndlletz7 is an open source model from GitHub that offers a free installation service, and any user can find dirndlletz7 on GitHub to install. At the same time, huggingface.co provides the effect of dirndlletz7 install, users can directly use dirndlletz7 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

dirndlletz7 install url in huggingface.co:

https://huggingface.co/histin116/dirndlletz7

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histin116
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