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("charnelofmaw/flux-nugz")
prompt = "a close up of a cannabis plant on a black background. The plant is lush and green, with a variety of leaves and buds. The leaves are a deep green color, and the buds are a lighter shade of green. The background is a deep, dark black, providing a stark contrast to the vibrant colors of the plant"
image = pipe(prompt).images[0][FLUX]Nugz
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- a close up of a cannabis plant on a black background. The plant is lush and green, with a variety of leaves and buds. The leaves are a deep green color, and the buds are a lighter shade of green. The background is a deep, dark black, providing a stark contrast to the vibrant colors of the plant
Trigger words
You should use charnelnugz to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for charnelofmaw/flux-nugz
Base model
black-forest-labs/FLUX.1-dev