import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("cocktailpeanut/akira-schnell")
prompt = "a scene from akira, a 8 year old girl and an old woman walking across a street"
image = pipe(prompt).images[0]akira-schnell
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- a scene from akira, a 8 year old girl and an old woman walking across a street
- Prompt
- a scene from akira, a guy eating ramen
- Prompt
- a scene from akira, two people playing tennis
Trigger words
You should use from akira 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 cocktailpeanut/akira-schnell
Base model
black-forest-labs/FLUX.1-schnell