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("glif-loradex-trainer/dham_dham_fpacks")
prompt = "ohwx uv map texture cigarette pack of the brand \"feu\""
image = pipe(prompt).images[0]dham_fpacks
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user dham.
- Prompt
- ohwx uv map texture cigarette pack of the brand "feu"
- Prompt
- ohwx uv map texture cigarette pack of the brand "glif"
- Prompt
- ohwx uv map texture cigarette pack of the brand "trump"
- Prompt
- ohwx uv map texture cigarette pack of the brand "brother"
- Prompt
- ohwx uv map texture cigarette pack of the brand "realms"
Trigger words
You should use ohwx uv map texture cigarette pack to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/dham_dham_fpacks
Base model
black-forest-labs/FLUX.1-dev