Instructions to use Nachi0311/comet-shoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nachi0311/comet-shoes with Diffusers:
pip install -U diffusers transformers accelerate
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("Nachi0311/comet-shoes") prompt = "A person wearing c0met shoes, in a photography studio setting." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
comet-shoes
Model trained with AI Toolkit by Ostris

- Prompt
- A person wearing c0met shoes, in a photography studio setting.

- Prompt
- a foot wearing c0met shoes with forest green background

- Prompt
- a gucci inspired c0met shoe design with white backdrop
Trigger words
You should use c0met 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('Nachi0311/comet-shoes', weight_name='comet-shoes.safetensors')
image = pipeline('A person wearing c0met shoes, in a photography studio setting.').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 Nachi0311/comet-shoes
Base model
black-forest-labs/FLUX.1-dev