Downloads · 30 days
5
6% of all-time downloads
Vamos-Rapido-67809ad3e5b5b1e8e49ea4eb
Alecardo/Vamos-Rapido-67809ad3e5b5b1e8e49ea4eb
Vamos-Rapido-67809ad3e5b5b1e8e49ea4eb is a text-to-image model from Alecardo. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
All-time downloads
79
Public
Repo size
172 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors172 MB · 100%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- other
- Access
- Public
- Created
- Jan 10, 2025
- Updated
- Jan 10, 2025
- SHA
- def3d196
Base models
Model card
From the Hugging Face model README
Vamos Rapido 67809Ad3E5B5B1E8E49Ea4Eb
<Gallery />Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use vrvamosrapido 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('Alecardo/Vamos-Rapido-67809ad3e5b5b1e8e49ea4eb', 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
- Wavespeed
- live
- Created
- Jan 10, 2025
- Updated
- Jan 10, 2025