import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ikmalsaid/chacha-maembong-flux-dev-lora")
prompt = "ch4cha <lora:ch4cha-lora-fp16-step8:1>"
image = pipe(prompt).images[0]Chacha Maembong - Flux.1 [Dev] LORA
- Prompt
- ch4cha <lora:ch4cha-lora-fp16-step8:1>
- Prompt
- ch4cha <lora:ch4cha-lora-fp16-step8:1>
- Prompt
- ch4cha <lora:ch4cha-lora-fp16-step8:1>
- Prompt
- ch4cha <lora:ch4cha-lora-fp16-step8:1>
- Prompt
- ch4cha <lora:ch4cha-lora-fp16-step8:1>
- Prompt
- ch4cha <lora:ch4cha-lora-fp16-step8:1>
Model description
A popular Malaysian female celebrity LORA trained on Flux.1 [Dev] (Dev2Pro version). Any constructive feedback and suggestions are very much appreciated. Thank you for your support!
Trigger words
You should use ch4cha to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for ikmalsaid/chacha-maembong-flux-dev-lora
Base model
black-forest-labs/FLUX.1-dev