Text-to-Image
Diffusers
UniDiffuserPipeline
image-to-text
image-captioning
image-variation
text-variation
multi-modality
generative model
Instructions to use dg845/unidiffuser-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/unidiffuser-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dg845/unidiffuser-diffusers", 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
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "UniDiffuserModel", | |
| "_diffusers_version": "0.17.0.dev0", | |
| "activation_fn": "gelu", | |
| "attention_bias": false, | |
| "attention_head_dim": 64, | |
| "block_type": "unidiffuser", | |
| "clip_img_dim": 512, | |
| "cross_attention_dim": null, | |
| "dropout": 0.0, | |
| "ff_final_dropout": true, | |
| "in_channels": 4, | |
| "norm_elementwise_affine": true, | |
| "norm_num_groups": 32, | |
| "norm_type": "layer_norm", | |
| "num_attention_heads": 24, | |
| "num_embeds_ada_norm": 1000, | |
| "num_layers": 30, | |
| "num_text_tokens": 77, | |
| "num_vector_embeds": null, | |
| "only_cross_attention": false, | |
| "out_channels": 4, | |
| "patch_size": 2, | |
| "pre_layer_norm": false, | |
| "sample_size": 64, | |
| "text_dim": 64, | |
| "upcast_attention": false, | |
| "use_data_type_embedding": true, | |
| "use_linear_projection": false, | |
| "use_patch_pos_embed": false, | |
| "use_timestep_embedding": false | |
| } | |