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("Suprit16/TalmendoXL-CLONE", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

TalmendoXL

This is a clone of the TalmendoXL model, based on Stable Diffusion XL.

Model Details

  • Base Model: Stable Diffusion XL (SDXL) 1.0
  • Version: TalmendoXL v1.1 Beta

Usage

This model can be used with the diffusers library:

from diffusers import StableDiffusionXLPipeline
import torch

pipeline = StableDiffusionXLPipeline.from_pretrained("USER/TalmendoXL-CLONE", torch_dtype=torch.float16)
pipeline = pipeline.to("cuda")

prompt = "a professional photograph of a mountain landscape, high resolution"
image = pipeline(prompt).images[0]
image.save("talmendo_xl_output.png")

License

This model is available under the CreativeML Open RAIL-M license.

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