Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
sar
synthetic-aperture-radar
remote-sensing
stable-diffusion
image-generation
synthetic-data
ship-detection
earth-observation
sentinel-1
Instructions to use sylviaHoch/SAR-StableDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sylviaHoch/SAR-StableDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sylviaHoch/SAR-StableDiffusion", 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
File size: 1,058 Bytes
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"alpha_pattern": {},
"auto_mapping": {
"base_model_class": "CLIPTextModel",
"parent_library": "transformers.models.clip.modeling_clip"
},
"base_model_name_or_path": "sd-legacy/stable-diffusion-v1-5",
"bias": "none",
"corda_config": null,
"eva_config": null,
"exclude_modules": null,
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layer_replication": null,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 16,
"lora_bias": false,
"lora_dropout": 0.05,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": null,
"peft_type": "LORA",
"qalora_group_size": 16,
"r": 8,
"rank_pattern": {},
"revision": null,
"target_modules": [
"v_proj",
"q_proj",
"k_proj",
"out_proj",
"text_projection"
],
"target_parameters": null,
"task_type": null,
"trainable_token_indices": null,
"use_dora": false,
"use_qalora": false,
"use_rslora": false
} |