Instructions to use peterji/Tencent_XR_3DGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use peterji/Tencent_XR_3DGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("peterji/Tencent_XR_3DGen", 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
Ctrl+K
- IP-Adapter_image_encoder
- TTPLANET_Controlnet_Tile
- delight_models_full_light
- helloworldXL70
- img2img_albedo_6views_512_250k
- img2img_material_two_outputs
- pretrained_sdxl_xyz_controlnet
- realesrgan
- sdxl-vae-fp16-fix
- sdxl_depth_controlnet_fp16
- zero123plus_v29_1cond_6views_090180270
- zero123plus_v29_1cond_6views_090180270_controlnet_15000
- zero23_controlnet_8000
- zero23plus_v25_4vews_abs_39000
- 21.6 MB xet
- 114 MB xet
- 1.01 GB xet
- 394 MB xet
- 2.86 MB xet