dev-1024
This is a LoRA derived from black-forest-labs/FLUX.1-dev.
The main validation prompt used during training was:
gorkem with red hair, playing chess at the park, bomb going off in the background
Validation settings
- CFG:
3.0 - CFG Rescale:
0.0 - Steps:
20 - Sampler:
None - Seed:
42 - Resolution:
1024x1024
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
- blurry, cropped, ugly
- Prompt
- gorkem holding a sign that says 'I LOVE FAL!'
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- gorkem with red hair, playing chess at the park, bomb going off in the background
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- a gorkem holding a coffee cup, in a beanie, sitting at a cafe
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- gorkem showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- a bear building a log cabin in the snow covered mountains
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- woman playing the guitar, on stage, singing a song, laser lights, punk rocker
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- hipster man with a beard, building a chair, in a wood shop
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- photo of gorkem, white background, medium shot, modeling clothing, studio lighting, white backdrop
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- gorkem with red hair, playing chess at the park, bomb going off in the background
- Negative Prompt
- blurry, cropped, ugly
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 142
- Training steps: 1000
- Learning rate: 0.0004
- Effective batch size: 1
- Micro-batch size: 1
- Gradient accumulation steps: 1
- Number of GPUs: 1
- Prediction type: flow-matching
- Rescaled betas zero SNR: False
- Optimizer: adamw_bf16
- Precision: bf16
- Quantised: No
- Xformers: Not used
- LoRA Rank: 16
- LoRA Alpha: None
- LoRA Dropout: 0.1
- LoRA initialisation style: default
Datasets
gorkem_1024
- Repeats: 0
- Total number of images: 7
- Total number of aspect buckets: 1
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
Inference
import torch
from diffusers import DiffusionPipeline
model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'Warlord-K/dev-1024'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)
prompt = "gorkem with red hair, playing chess at the park, bomb going off in the background"
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=20,
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=3.0,
).images[0]
image.save("output.png", format="PNG")
- Downloads last month
- 5
Model tree for Warlord-K/dev-1024
Base model
black-forest-labs/FLUX.1-dev