Instructions to use channudam/stable-diffusion-khm-53 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use channudam/stable-diffusion-khm-53 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("channudam/stable-diffusion-khm-53", 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
Download text_encoder/config.json from channudam/stable-diffusion-khm-53: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/channudam/stable-diffusion-khm-53/resolve/main/text_encoder/config.json
- Command line
-
hf download hf://channudam/stable-diffusion-khm-53/text_encoder/config.json
-
curl -L -o config.json https://huggingface.co/channudam/stable-diffusion-khm-53/resolve/main/text_encoder/config.json
627 Bytes
| { | |
| "architectures": [ | |
| "RobertaModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 64, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "roberta", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.50.3", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 5000 | |
| } | |