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poweredbypain
Retrained onto FLUX.2 [klein] 4B from ms2stationthis/poweredbypainflux (FLUX.1-dev).![]() | ![]() |
|---|---|
| poweredbypain, This is a color photograph depicting a humorous and unexpected scene in a… | poweredbypain, This is a photograph with a soft, dreamy, almost ethereal quality - an aes… |
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| :---: | :---: |
| poweredbypain, This poweredbypain photograph captures a playful and slightly raunchy scen… | poweredbypain, This is a high-resolution photograph of a woman in a provocative pose on a… |
1import torch
2from diffusers import Flux2Pipeline
3
4pipe = Flux2Pipeline.from_pretrained(
5 "black-forest-labs/FLUX.2-klein-4B", torch_dtype=torch.bfloat16
6).to("cuda")
7pipe.load_lora_weights("ms2stationthis/poweredbypainflux-klein")
8image = pipe("poweredbypain, a character portrait", guidance_scale=4.0, num_inference_steps=25).images[0]
9image.save("out.png")| LoRA strength | Guidance | Steps | Resolution |
|---|---|---|---|
| 0.8–1.0 | 4.0 | 25 | 1024×1024 |
dataset/ (17 image-caption pairs) and the exact config.yaml so the LoRA can be retrained as-is.