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flux-cross-section
fofr/flux-cross-section
flux-cross-section is a text-to-image model from fofr. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
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.safetensors172 MB · 100%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- other
- Access
- Public
- Created
- Aug 17, 2024
- Updated
- Sep 17, 2024
- SHA
- a6045c24
Try a prompt
Base models
Model card
From the Hugging Face model README
Flux Cross Section
<Gallery />Run on Replicate:
https://replicate.com/fofr/flux-cross-section
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use XSEC to trigger the image generation.
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.float16).to('cuda')
pipeline.load_lora_weights('fofr/flux-cross-section', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
- Task
- Text-to-Image
- Library
- diffusers
- License
- other
- Languages
- en
- Fal Ai
- live
- Replicate
- live
- Wavespeed
- live
- Created
- Aug 17, 2024
- Updated
- Sep 17, 2024