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("NinjaGoose/Flux-Lora-Jack-Reese")
prompt = "A woman wearing JackSp0rts in a bustling cafe."
image = pipe(prompt).images[0]flux-lora-jack-reese
Model trained with AI Toolkit by Ostris
- Prompt
- A woman wearing JackSp0rts in a bustling cafe.
- Prompt
- A woman wearing JackSp0rts in a beach.
- Prompt
- A woman wearing JackSp0rts in a park
Trigger words
You should use JackSp0rts 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('NinjaGoose/flux-lora-jack-reese', weight_name='flux-lora-jack-reese.safetensors')
image = pipeline('A woman wearing JackSp0rts in a bustling cafe.').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 NinjaGoose/Flux-Lora-Jack-Reese
Base model
black-forest-labs/FLUX.1-dev