Instructions to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- NeMo
How to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with NeMo:
# tag did not correspond to a valid NeMo domain.
- Diffusers
How to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World", torch_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
- module.affline_norm.weight
- module.decoder.layers.adaLN.adaLN_modulation.1.weight
- module.decoder.layers.adaLN.adaLN_modulation.2.weight
- module.decoder.layers.cross_attention.core_attention._extra_state
- module.decoder.layers.cross_attention.k_layernorm.weight
- module.decoder.layers.cross_attention.linear_kv._extra_state
- module.decoder.layers.cross_attention.linear_kv.weight
- module.decoder.layers.cross_attention.linear_proj._extra_state
- module.decoder.layers.cross_attention.linear_proj.weight
- module.decoder.layers.cross_attention.linear_q._extra_state
- module.decoder.layers.cross_attention.linear_q.weight
- module.decoder.layers.cross_attention.q_layernorm.weight
- module.decoder.layers.full_self_attention.core_attention._extra_state
- module.decoder.layers.full_self_attention.k_layernorm.weight
- module.decoder.layers.full_self_attention.linear_proj._extra_state
- module.decoder.layers.full_self_attention.linear_proj.weight
- module.decoder.layers.full_self_attention.linear_qkv._extra_state
- module.decoder.layers.full_self_attention.linear_qkv.weight
- module.decoder.layers.full_self_attention.q_layernorm.weight
- module.decoder.layers.mlp.linear_fc1._extra_state
- module.decoder.layers.mlp.linear_fc1.weight
- module.decoder.layers.mlp.linear_fc2._extra_state
- module.decoder.layers.mlp.linear_fc2.weight
- module.extra_pos_embedder.pos_emb_h
- module.extra_pos_embedder.pos_emb_t
- module.extra_pos_embedder.pos_emb_w
- module.final_layer.adaLN_modulation.1.weight
- module.final_layer.adaLN_modulation.2.weight
- module.final_layer.linear.weight
- module.logvar.0.freqs
- module.logvar.0.phases
- module.logvar.1.weight
- module.pos_embedder.seq
- module.t_embedder.1.linear_1.weight
- module.t_embedder.1.linear_2.weight
- module.x_embedder.proj.1.weight
- 860 Bytes xet
- 113 Bytes