Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("manan05/sdxl-texture-generation_5", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Text-to-image finetuning - manan05/sdxl-texture-generation_5
This pipeline was finetuned from stabilityai/stable-diffusion-xl-base-1.0 on the /ihub/homedirs/vp_hc/tti/new_sdxl/dataset/ dataset. Below are some example images generated with the finetuned pipeline using the following prompt: Oak wood with flowers texture:
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for manan05/sdxl-texture-generation_5
Base model
stabilityai/stable-diffusion-xl-base-1.0