Text-to-Image
Diffusers
ONNX
Safetensors
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
Instructions to use whatsupmate/TalmendoXL-CLONE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use whatsupmate/TalmendoXL-CLONE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("whatsupmate/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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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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