Flux-Midjourney-Mix-LoRA

78
60
6.0B
—
by
strangerzonehf
Image Model
OTHER
6B params
New
78 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
14GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
6GB+ RAM

Code Examples

Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
Best Dimensionspythonpytorch
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-Mix-LoRA"
trigger_word = "midjourney mix"  
pipe.load_lora_weights(lora_repo)

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

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