Text-to-Image
Diffusers
template:sd-lora
flux
lora
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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/fatman2021b_Outlined_Cel_shader_with_Texture_by_Ch13f")

prompt = "stone temple in the middle of a lush jungle [Ch13f-shadr]"
image = pipe(prompt).images[0]

Outlined_Cel_shader_with_Texture_by_Ch13f

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user fatman2021b.

Prompt
stone temple in the middle of a lush jungle [Ch13f-shadr]
Prompt
a tactical knife on a tree stump [Ch13f-shadr]
Prompt
alien planetscape with a mountain range and space background [Ch13f-shadr]
Prompt
a post-apocalyptic city in ruins [Ch13f-shadr]
Prompt
an underground sewer scene [Ch13f-shadr]
Prompt
a mech walking through a autumn forest [Ch13f-shadr]

Trigger words

You should use Ch13f-shadr 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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