Type | |
Stats | 98 0 |
Reviews | (17) |
Published | Apr 18, 2025 |
Base Model | |
Training | Epochs: 160 |
Trigger Words | ohwx woman |
Hash | AutoV2 F3E6C89A21 |
🆕 New AT-J LoRA
Took HiDream for a test drive and a new AT-J LoRa was the result.
Very smooth learning process overall. Images include prompts and the ComfyUI workflow, as they should.
Is HiDream good?
HiDream is showing real promise as a future base model. Training runs are super smooth, if a bit slow or expensive. Probably both. But that’s likely just a temporary bottleneck until the optimizer nerds finish their work and I can train LoRAs on my toaster.
It’s probably too good of a model. It’ll happily pick up and reflect whatever shit exist in your dataset. Garbage in, garbage out, just really, really nicely rendered garbage.
Training details
Trained with
diffusion-pipe
on a RunPod A40. Cost: 5$Used the following configs:
config.toml
https://pastebin.com/YUGnKEPC
dataset.toml
(key settings):
resolutions = [1024]
enable_ar_bucket = true
min_ar = 0.5
max_ar = 2.0
num_ar_buckets = 9
[[directory]]
path = '/workspace/dataset/atj'
Tried local training on a 4090, but even with block swapping enabled, diffusion-pipe decided to crash and burn. If you get it running locally, let me know how by joining the worst Discord community ever. We have a climate change denier who is quite the funny guy:
👉 https://discord.gg/PSa9EMEMCe
Lewd stuff currently in process...