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("fspecii/anm")
prompt = "anm amb in park"
image = pipe(prompt).images[0]anm
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- anm amb in park
- Prompt
- anm drp in the garden
- Prompt
- anm drp and amb in a forest
Trigger words
You should use anm 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 fspecii/anm
Base model
black-forest-labs/FLUX.1-dev