import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("danildushenev/magneticTileCrack2")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]danildushenev/magneticTileCrack2
FLUX.2-dev LoRA adapter.
Files
pytorch_lora_weights.safetensors(SHA256:ecb8764665a32b2f089230f5ea24d90e7bc3acc20a2f595ebe65acf535891a34)
Usage (Diffusers)
import torch
from diffusers import Flux2Pipeline
pipe = Flux2Pipeline.from_pretrained("black-forest-labs/FLUX.2-dev", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("danildushenev/magneticTileCrack2", weight_name="pytorch_lora_weights.safetensors")
image = pipe("your prompt", num_inference_steps=24, guidance_scale=2.5).images[0]
image.save("result.png")
Usage (ComfyUI)
- Download
pytorch_lora_weights.safetensorsfrom this repo. - Put it into
ComfyUI/models/loras/. - In workflow use LoRA Loader and set this file.
Trigger text: a photo of Magnetic Tile crack
Generated on 2026-02-08 14:05:43Z.
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Model tree for danildushenev/magneticTileCrack2
Base model
black-forest-labs/FLUX.2-dev