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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("seawolf2357/test-bag4")
prompt = "a woman wearing a white shirt and black leggings, standing on a set of stairs with a black Chanel bag in her hand. The background of the image is a building. [trigger]"
image = pipe(prompt).images[0]test-bag4
Model trained with AI Toolkit by Ostris
- Prompt
- a woman wearing a white shirt and black leggings, standing on a set of stairs with a black Chanel bag in her hand. The background of the image is a building. [trigger]
Trigger words
You should use handbag to trigger the image generation.
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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('seawolf2357/test-bag4', weight_name='test-bag4.safetensors')
image = pipeline('a woman wearing a white shirt and black leggings, standing on a set of stairs with a black Chanel bag in her hand. The background of the image is a building. [trigger]').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for seawolf2357/test-bag4
Base model
black-forest-labs/FLUX.1-dev