Instructions to use TomShales123/abcdefgh6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TomShales123/abcdefgh6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TomShales123/abcdefgh6", 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
model upload
Browse files- model_index.json +2 -2
- scheduler/scheduler_config.json +12 -2
- text_encoder/config.json +1 -1
- text_encoder_2/config.json +1 -1
- unet/config.json +1 -1
- vae/config.json +1 -1
model_index.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.30.0",
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-
"_name_or_path": "
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"feature_extractor": [
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null,
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null
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@@ -13,7 +13,7 @@
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],
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"scheduler": [
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"diffusers",
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-
"
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],
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"text_encoder": [
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"transformers",
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.30.0",
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+
"_name_or_path": "RobertML/edge-sc",
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"feature_extractor": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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+
"DPMSolverMultistepScheduler"
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],
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"text_encoder": [
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"transformers",
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scheduler/scheduler_config.json
CHANGED
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@@ -1,12 +1,17 @@
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{
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-
"_class_name": "
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"_diffusers_version": "0.30.0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"final_sigmas_type": "zero",
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"interpolation_type": "linear",
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"rescale_betas_zero_snr": false,
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@@ -15,9 +20,14 @@
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"sigma_max": null,
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"sigma_min": null,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"timestep_spacing": "leading",
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"timestep_type": "discrete",
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"trained_betas": null,
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-
"use_karras_sigmas": false
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}
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{
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+
"_class_name": "DPMSolverMultistepScheduler",
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"_diffusers_version": "0.30.0",
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+
"algorithm_type": "sde-dpmsolver++",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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+
"dynamic_thresholding_ratio": 0.995,
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+
"euler_at_final": false,
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"final_sigmas_type": "zero",
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"interpolation_type": "linear",
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+
"lambda_min_clipped": -Infinity,
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"lower_order_final": true,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"rescale_betas_zero_snr": false,
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"sigma_max": null,
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"sigma_min": null,
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"skip_prk_steps": true,
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+
"solver_order": 2,
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+
"solver_type": "midpoint",
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"steps_offset": 1,
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+
"thresholding": false,
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"timestep_spacing": "leading",
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"timestep_type": "discrete",
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"trained_betas": null,
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+
"use_karras_sigmas": false,
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+
"use_lu_lambdas": false,
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+
"variance_type": null
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}
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text_encoder/config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "/root/.cache/huggingface/hub/models--
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"architectures": [
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"CLIPTextModel"
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],
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{
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"_name_or_path": "/root/.cache/huggingface/hub/models--RobertML--edge-sc/snapshots/75eb9fc4277fce987e4064da3562edd815f946cb/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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text_encoder_2/config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "/root/.cache/huggingface/hub/models--
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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{
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+
"_name_or_path": "/root/.cache/huggingface/hub/models--RobertML--edge-sc/snapshots/75eb9fc4277fce987e4064da3562edd815f946cb/text_encoder_2",
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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unet/config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.30.0",
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-
"_name_or_path": "/root/.cache/huggingface/hub/models--
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.30.0",
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+
"_name_or_path": "/root/.cache/huggingface/hub/models--RobertML--edge-sc/snapshots/75eb9fc4277fce987e4064da3562edd815f946cb/unet",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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vae/config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.30.0",
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-
"_name_or_path": "/root/.cache/huggingface/hub/models--
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"act_fn": "silu",
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"block_out_channels": [
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128,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.30.0",
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+
"_name_or_path": "/root/.cache/huggingface/hub/models--RobertML--edge-sc/snapshots/75eb9fc4277fce987e4064da3562edd815f946cb/vae",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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