Midjourney Mix 3 ft Flux.1 Dev
Collection
text-to-image • 3 items • Updated • 2
How to use strangerzonehf/Flux-Midjourney-Studio-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("strangerzonehf/Flux-Midjourney-Studio-LoRA")
prompt = "mj x1, a close-up shot of a man with short platinum blonde hair and olive skin, dressed in a black crew neck t-shirt. He has a silver nose ring and a small teardrop tattoo under his left eye. The studio lighting casts a soft shadow under his chin, giving dimension to his jawline. The background is a gradient from pale blue to white."
image = pipe(prompt).images[0]import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("strangerzonehf/Flux-Midjourney-Studio-LoRA")
prompt = "mj x1, a close-up shot of a man with short platinum blonde hair and olive skin, dressed in a black crew neck t-shirt. He has a silver nose ring and a small teardrop tattoo under his left eye. The studio lighting casts a soft shadow under his chin, giving dimension to his jawline. The background is a gradient from pale blue to white."
image = pipe(prompt).images[0]



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 | 30 & 3900 |
| Epoch | 25 | Save Every N Epochs | 1 [90] |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 27 [ Midjourney Generated Synthetic Image ]
| Dimensions | Aspect Ratio | Recommendation |
|---|---|---|
| 1280 x 832 | 3:2 | Best |
| 1024 x 1024 | 1:1 | Default |
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/Flux-Midjourney-Studio-LoRA"
trigger_word = "mj x1"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
You should use mj x1 to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
black-forest-labs/FLUX.1-dev