Instructions to use Ghaxalll/ghaxal-face-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ghaxalll/ghaxal-face-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ghaxalll/ghaxal-face-v2") prompt = "ghaxal_woman, sitting at a desk by a window, soft afternoon light, 85mm, shallow depth of field, natural skin texture" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Ghaxalll/ghaxal-face-v2

- Prompt
- ghaxal_woman, sitting at a desk by a window, soft afternoon light, 85mm, shallow depth of field, natural skin texture

- Prompt
- ghaxal_woman, walking on a Berlin street in direct midday sun, hard shadows, candid, 35mm

- Prompt
- ghaxal_woman, full body, standing against a plain turquoise tiled wall, structural black outfit, editorial fashion photograph
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Trigger
Use the token ghaxal_woman to invoke the concept.
Samples
"ghaxal_woman, sitting at a desk by a window, soft afternoon light, 85mm, shallow depth of field, natural skin texture"
"ghaxal_woman, walking on a Berlin street in direct midday sun, hard shadows, candid, 35mm"
"ghaxal_woman, full body, standing against a plain turquoise tiled wall, structural black outfit, editorial fashion photograph"
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("Ghaxalll/ghaxal-face-v2")
image = pipe("ghaxal_woman, sitting at a desk by a window, soft afternoon light, 85mm, shallow depth of field, natural skin texture", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for Ghaxalll/ghaxal-face-v2
Base model
krea/Krea-2-Raw

