Instructions to use dream-textures/texture-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dream-textures/texture-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dream-textures/texture-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "pbr brick wall" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 462 Bytes
f0f275c d84d6fd 0f2a3f0 f0f275c 0f2a3f0 0362f30 f0f275c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"_class_name": "StableDiffusionPipeline",
"_diffusers_version": "0.8.0",
"safety_checker": [
null,
null
],
"scheduler": [
"diffusers",
"DDIMScheduler"
],
"text_encoder": [
"transformers",
"CLIPTextModel"
],
"tokenizer": [
"transformers",
"CLIPTokenizer"
],
"unet": [
"diffusers",
"UNet2DConditionModel"
],
"vae": [
"diffusers",
"AutoencoderKL"
],
"requires_safety_checker": false
}
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