Instructions to use iumrfarooq/hof2plo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iumrfarooq/hof2plo 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("iumrfarooq/hof2plo") prompt = "A full-length fashion photograph of a man wearing hof2plo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("iumrfarooq/hof2plo")
prompt = "A full-length fashion photograph of a man wearing hof2plo"
image = pipe(prompt).images[0]hof2plo
Model trained with AI Toolkit by Ostris

- Prompt
- A full-length fashion photograph of a man wearing hof2plo

- Prompt
- a person posing in what appears to be a professional modeling or fashion photography setting. The individual is standing by a window with soft, warm natural light streaming through venetian blinds or shutters, creating dramatic shadow patterns. The person is wearing white polo shirt featuring a distinctive black silhouette of a rearing horse logo on the left chest area, complemented by a black contrasting collar, black button placket with two visible buttons, and black trim on the short sleeve edges, all constructed from a textured piqué or mesh cotton fabric with a visible weave pattern; the back of the shirt maintains a clean, plain white appearance with no additional details except for the black collar trim at the neckline, creating a classic polo silhouette with a striking black-and-white color scheme.RetryClaude can make mistakes. Please double-check responses.
Trigger words
You should use hof2plo 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('iumrfarooq/hof2plo', weight_name='hof2plo.safetensors')
image = pipeline('A full-length fashion photograph of a man wearing hof2plo').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 iumrfarooq/hof2plo
Base model
black-forest-labs/FLUX.1-dev