DamianBoborzi/FLUX.1-schnell_meshleet
083
FLUX.1-schnell_meshleet
FLUX.1-schnell LORA trained with with renders from MeshFleet. Either 'fluxschnellmeshfleetlora32.safetensors' or 'fluxschnellmeshfleetlora64.safetensors' can be loaded. Model trained with AI Toolkit by Ostris <Gallery />
Trigger words
MeshFleet Finetune
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('DamianBoborzi/FLUX.1-schnell_meshleet', weight_name='flux_schnell_meshleet_lora32.safetensors')
# alternative: pipeline.load_lora_weights('DamianBoborzi/FLUX.1-schnell_meshleet', weight_name='flux_schnell_meshleet_lora64.safetensors')
image = pipeline('Blue BMW M-division sports coupe with modern aggressive styling, front 3/4 view, aggressive stance, carbon fiber accents, 20-inch wheels, studio lighting, dark background.').images[0]
image.save("my_image.png")For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
