metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A person in a bustling cafe RKTIM
    output:
      url: samples/1751030775267__000001500_0.jpg
  - text: RKTIM holding a skull, RAW realistic
    output:
      url: samples/1751030787587__000001500_1.jpg
  - text: realistic portrait of RKTIM, raw, captured in canon
    output:
      url: samples/1751030799878__000001500_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: RKTIM
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md

rktim

Model trained with AI Toolkit by Ostris

Prompt
RKTIM holding a skull, RAW realistic

Prompt
realistic portrait of RKTIM, raw, captured in canon

Trigger words

You should use RKTIM to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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.bfloat16).to('cuda')
pipeline.load_lora_weights('roktimsardar123/rktim', weight_name='rktim.safetensors')
image = pipeline('A person in a bustling cafe RKTIM').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers